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$35 - $100/hourpayEViewsMacroeconomicsmicro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale. Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Head of Product (Data Analytics & AI) The Opportunity As Group VP, Head of Product, you are the accountable executive owner of Wiley's AI & Data Analytics Business Unit product portfolio-the company's designated second growth engine. The role calls for a product-led operator who pairs strong product craft with commercial instinct to turn strategy into a roadmap that scales based on evidence, not assumption. You own the product portfolio across three connected product lines: AI & Data Analytics Platform Services (including Applied Research Intelligence Platform), Database Solutions (turning Wiley's proprietary reference works and scientific collections into machine-readable data products), and Audience Solutions (evolving advertising and engagement into an AI-powered marketing intelligence product). These are not separate product lines-they share a common platform foundation, and you ensure each area reinforces the others. You report to the Chief AI & Data Analytics Officer and lead product managers and UX across all three product lines. You are the primary interface between commercial GMs and functional leads (Head of Technology, Head of Data Science), partnering with them to turn requirements into capabilities and evidence into roadmap and revenue decisions. Key Responsibilities • Unified Product Strategy & Roadmap: Own an integrated strategy and roadmap across AI & Data Analytics Platform Services, Database Solutions, and Audience Solutions, ensuring the product lines share a common foundation and build on shared capabilities over time., • Commercial Requirements Translation: Own commercial intake, evaluate priorities against strategy, and convert them into a sequenced roadmap with milestones, business cases, and clear launch/hold decisions., • Product Architecture: Design the product architecture to serve corporate buyer demand and near-term revenue opportunities. o Define and sequence Applied Research Intelligence Platform capabilities, including structured extraction and enrichment, knowledge graph construction, enterprise APIs, Model Context Protocol (MCP) access (standard interface for AI agents/tools), rights and entitlements governance, and clean-room execution (privacy-safe analysis environments)., • Lead the productization of Wiley's proprietary scientific collections by transforming legacy-format content into structured, machine-readable, high-margin data products. o Define the product vision for advertising and audience engagement, supported by behavioral analytics that turn Wiley's opted-in first-party audience into sellable insights and signals that inform structured data extraction priorities., • Market Validation & Evidence-Based Prioritization: Define leading indicators for execution and partner with data science and commercial teams to validate the content-depth advantage use case by use case, investing where depth is proven., • Build/Buy/Partner Decisions: Lead the product dimension of the build/buy/partner agenda by defining the commercial framing, strategic rationale, and partner guardrails., • Global Team Management: Lead and develop a high-performing, multi-disciplinary product organization spanning product management, UX, and product strategy, and build the processes and culture required for software-led, enterprise-grade execution., • Strategic Collaboration: Partner with the General Manager, commercial leaders, Head of Data Science, and Head of Technology to ensure the product strategy and roadmap realize the division's AI-powered vision. Required Experience & Qualifications • Enterprise Product Leadership: 15+ years of product management experience, with at least 7 years leading product organizations in enterprise SaaS, data products, or AI/ML platforms. Demonstrated track record of owning a product portfolio from early-stage validation through scaled commercial deployment including revenue achievements, including defining pricing architecture, access models, and product economics., • Commercial Strategy & Positioning: Ability to translate complex technical features into clear, outcome-based value propositions for different buyer personas (e.g., C-Suite vs. End User). Maintain a "Battlecard" mentality; stay ahead of market shifts and competitor movements to influence pricing and packaging strategies. Experience in designing and iterating SaaS pricing models (usage-based, seat-based, or tiered) to maximize Net Revenue Retention (NRR)., • Data & AI Product Depth: Proven experience building and commercializing data products (structured datasets, APIs, knowledge graphs, AI-powered analytics) for enterprise buyers in regulated markets. You understand provenance, rights governance, and compliance (GDPR, CCPA) as product requirements., • Corporate R&D Market Experience: Familiarity with corporate R&D buyers in pharma, biotech, engineering, or adjacent verticals - including their procurement cycles, enterprise integration expectations, and the competitive landscape., • Platform Thinking: Demonstrated ability to run a multi-product portfolio on a shared platform foundation, avoiding one-off solutions that are costly to maintain and don't create long-term customer or revenue value., • Commercial Instinct: Strong grasp of product economics (usage-based pricing, tiered subscriptions, API monetization, data licensing, access controls and usage tracking) and ability to tie product decisions to ARR, NRR, and unit economics., • Interpersonal & Organizational Complexity: Proven ability to lead through shared accountability across commercial, data science, and engineering stakeholders., • Technical Literacy: Working knowledge of modern data stack technologies, API product design, and enterprise integration architectures., • Analytics & Experimentation: Proficiency in product analytics, A/B experimentation, and evidence-based prioritization methodologies., • Enterprise Compliance: Familiarity with enterprise security and privacy standards (SOC2 Type II, ISO 27001, GDPR/CCPA) as product design requirements. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 218,900 USD to 328,567 USD#LI-JL1 Job Posting Title: Group Vice President, Product Management Location: Hoboken (HQ), NJ, USA

Company With around 480 locations in over 40 countries, thyssenkrupp Materials Services is the biggest materials distributor and service provider in the western world. The broad service spectrum offered by the materials experts enables customers to focus on their individual core business. The area of Materials Services spans two strategic areas: global materials distribution as one-stop-shop - from steel and stainless steel, tubes and pipes, nonferrous metals and specialty materials to plastics and raw materials - and tailored services in the areas of materials management and supply chain management. An extensive omnichannel architecture offers 250,000 customers worldwide cross-channel, round-the-clock access to more than 150,000 products and services. A highly efficient logistics system ensures that all requested services are smoothly integrated into customer production processes "just-in-time" or "just-in-sequence". thyssenkrupp Materials Trading North America is a leading commodity trading organization and part of thyssenkrupp AG, a distinguished German conglomerate with a legacy spanning more than two centuries. Leveraging an expansive global network and a team of experienced traders, we enjoy an excellent reputation for reliability and innovation. We offer an extensive range of industrial products, including steel, minerals, metals and alloys, serving a variety of industries, including manufacturing, construction, energy, automotive and many more. In keeping with our German roots and tradition, we are fully committed to developing internal talent and fostering growth within our organization. We are currently seeking a motivated Trader Trainee to join our North American team for a 12-month trainee program, which may lead to a full-time position upon successful completion. The ideal candidate should exhibit curiosity, resilience, a growth mindset, adaptability to change, and a strong team spirit. In this role, you will gain hands-on experience in trading industrial minerals by engaging with suppliers and customers, supporting the execution of transactions, and developing essential trading skills. You will learn to navigate our supply chains and contribute to building profitable outcomes for the organization. This position is located in New Jersey, and domestic travel may be required. Training Rotations • Logistics Rotation: Learn how industrial minerals are transported globally, assisting in shipment coordination and logistics management., • Sales Operations & Risk Management Rotation: Develop commercial discipline and skills in contract management, customer interactions, and risk assessment., • Trading Desk Rotations: Gain exposure to trading desks, understanding market dynamics, pricing strategies, and supplier negotiations. As part of your trainee program, you will • Participate in the purchasing and sales process of industrial minerals, supporting sourcing from suppliers to concluding contracts with buyers., • Build and maintain relationships with customers and suppliers., • Conduct market research and analysis to support new business development initiatives., • Assist in resolving claims effectively and contribute to a culture of continuous improvement and open communication., • Ensure compliance with internal requirements and legal regulations. The above is intended to describe the general content of and requirement for the performance of this Trainee Program. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements. Requirements • Bachelor's degree in Business, Finance, Economics, or a related field, • Experience: 0-3 years related/professional work experience, • Strong analytical skills and attention to detail, • Excellent communication and interpersonal skills, • A passion for learning about metals and raw materials trading, • Proficiency in Microsoft Office applications (Outlook, Word, Excel, Teams), • Willingness to adapt to a fast-paced environment and manage risk and uncertainty, • Ability to work collaboratively within a team-oriented environment, • Desire to succeed and to become a Trader $0.00 - $0.00 We offer competitive company benefits to eligible positions, such as: • Medical, Dental, Vision Insurance, • Life Insurance and Disability, • Voluntary Wellness Programs, • 401(k) or RRSP programs with Company Match, • Paid Vacation and Holidays, • Tuition Reimbursement, • And more! Benefits may vary based on job, country, union role, and/or company segment. Please work with your recruiter or tk representative for applicable benefits information. This is to notify the general public that some individuals/entities are using the thyssenkrupp ("TK") name, trademark, domain name, and logo without authorization. They are posing as employees, representatives, or agents of TK and its associated/group companies. These individuals/entities are fraudulently offering jobs online through texts, websites, telephone calls, emails, or by issuing fake offer letters. They are also soliciting jobseekers to deposit money in certain bank accounts or providing jobseekers with fraudulent checks to obtain banking information. TK does not ask, solicit, or accept any monies in any form from candidates, job applicants, or potential jobseekers, who have applied to or wish to apply to TK, whether online or otherwise as a pre-employment requirement. TK bears no responsibility for money being deposited/withdrawn therefrom in response to such fake offers. Equal opportunity employer, including people with disabilities and veterans. Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. For those requiring assistance completing the application or the application process and request information relating to the need for accommodation, please contact _. TK does not: 1.Send job offers from free email services like Gmail, Rediffmail, Yahoo mail, etc.; 2.Request payment of any kind from prospective jobseekers or candidates for employment; 3.Authorize anyone to collect money or agree to any monetary arrangement in return for a job at TK; 4.Send checks to job seekers; or 5.Make job offers through third parties. In the event TK uses professional recruitment services through a third party, offers are always made directly by TK and not by any third parties. PLEASE NOTE: 1.TK strongly recommends that potential jobseekers do not respond to such fake solicitations, in any manner; 2.TK will not be responsible to anyone acting on an employment offer that is not directly made by TK; 3.Anyone making an employment offer in return for money is not authorized by TK; and 4.TK reserves the right to take legal action, including criminal action, against such individuals/entities. TK follows a formal recruitment process through its own HR department and applications are evaluated by its HR department through pre-defined processes. Please visit our official careers website at https://jobs.thyssenkrupp.com/en to view authentic job openings at TK. If you receive any unauthorized, suspicious, or fraudulent offers or interview calls, please email us at _.

Position at New York City Transit Title: Transit Management Analyst Series Department: Subways Authority: TA Division/Unit: Service Delivery Location: 354 W 54th Street New York, NY 10019 Hours: 7:00am to 3:00pm Compensation: Assistant Transit Management Analyst I: $67,933- $80,421 Assistant Transit Management Analyst II: $78,874- $87,847 Associate Transit Management Analyst: $89,162- $115,445 Deadline (If Applicable): 06/19/2026 Reporting Manager (If Applicable): General Superintendent POSITON SUMMARY: Support the Operations Control Center (OCC) - MOW by leveraging modern AI and automation tools to streamline workflows, reduce manual tasks, and enhance day‑to‑day operational efficiency. This role serves as the department's primary resource for digital tools, data management, system support, and cross‑functional coordination with MTA IT, operational leadership, and senior officials on the operations floor. RESPONSABILITIES: 1. Systems, Data & Automation Build and maintain SharePoint sites, Microsoft Lists, Power Automate flows, and Monday.com boards used to track routine tasks, to-dos, and meeting follow-ups across OCC - MOW. Serve as OCC - MOW's point of contact with MTA IT / Product teams; monitor and support transit systems including Power BI, BETS, iRails, iTrac, SODOS, Edison, EMD, GO, Unusual, and CBH. Develop AI-driven workflows and automations to replace manual entry, improve operational throughput, and strengthen data quality across daily operations and emergency response. Clean and structure large datasets, migrate legacy Access data into sandbox/cloud environments, and build Power BI dashboards that surface operational insights for leadership decision-making. 2. Operational Floor & Incident Support Work directly with Superintendents and senior officials on the operations floor, anticipating their needs and providing real-time support on data, reporting, and system requests. Support the Incident Management workflow in RCC - including documentation, tracking, follow-up, and quick-turn responses during active incidents. Drive ongoing initiatives such as Operating Theater access, OCC space/move coordination, and follow-ups from recurring meetings, including Build Access and Vulnerability. Handle routine operational tasks: MOW Weekend Coverage tracking, RCC and iRails access requests, emergency phone checks, and Switch Report backlog closeout. 3. Department Administration & Coordination Submit IT tickets on behalf of team members, keep Monday.com boards current, and manage BETS data entry alongside ongoing platform learning. Support filing, record organization, audit prep, meeting notes, safety meetings, Everbridge notifications, and distribution list maintenance. Track department business needs, including contracts, mandatory training, vulnerability tracking, power removal requests, and requisitions. Support staffing and operational logistics: org chart updates, intern coordination, HR support, job postings, job fairs, and storeroom materials. EDUCATION AND EXPERIENCE: Assistant Transit Management Analyst I and II: A master's degree from an accredited college or university in business administration, public administration, public policy, engineering, engineering technology, economics, architecture, mathematics, physics, computer science, finance, accounting, transportation planning, industrial psychology, urban planning/studies, human resources management, labor relations, operations research, security management or in a related area, or A baccalaureate degree from an accredited college or university and two years of satisfactory full-time professional experience working in budget administration, accounting, economic or financial administration, engineering, in management or methods of analysis, operations research, organization research or program evaluation, personnel or public administration, staff development, employment program planning or administration, security management; or general administration. Associate Transit Management Analyst: A master's degree from an accredited college or university in business administration, public administration, public policy, engineering, engineering technology, economics, architecture, mathematics, physics, computer science, finance, accounting, transportation planning, industrial psychology, urban planning/studies, human resources management, labor relations, operations research, security management or in a related area, and one year of full‐time satisfactory professional experience working in budget administration, accounting, economic or financial administration, engineering, in management or methods analysis, operations research, organizational research or program evaluation, personnel or public administration, staff development, employment program planning or administration, security management; or general administration; or A baccalaureate degree from an accredited college or university; and three years of full-time satisfactory experience as described in "1" above. DESIRED SKILLS: Excellent communication - written and verbal, with the ability to interact clearly and professionally across all levels, including Superintendents and senior officials. Cross-functional collaboration - proven ability to work effectively with operations, leadership, IT, and external stakeholders. Strong attention to detail - accuracy and consistency in data entry, reporting, documentation, and follow-through. Strong project management skills - ability to track, prioritize, and drive multiple initiatives to completion. Hands-on proficiency with Power BI, SharePoint, BETS, iRails, iTrac, and other transit systems, along with Monday.com and the full Microsoft Office Suite (Excel, Word, Outlook, PowerPoint, Teams), Microsoft Lists, Power Apps, Power Automate, and Adobe Acrobat Pro. Familiarity with incident management processes in an operational/control center. Preferred / Added Advantage Experience with SQL, Python, and Azure to support ETL work, data validation, and data quality efforts. Familiarity with MTA / transit operations environments, including control center workflows, dispatch coordination, and field/maintenance operations terminology. * Experience building AI-driven automations or low-code solutions (e.g., Power Automate, Copilot Studio, Python scripts) to replace manual processes and improve reporting accuracy. SELECTION METHOD Based on evaluation of education, skills, experience, interview, and written assessment. All selected candidates will be subject to a full background investigation that includes employment and education. Discrepancies may lead to dismissal. OTHER INFORMATION Appointment may be at a comparable level to current level of selected candidate. (If necessary) As an employee of MTA NYC Transit, you may be required to complete an annual financial disclosure statement with the state of New York, if your position earns more than $101,379 (this is subject to change) per year or if the position is designated as a policy maker. HOW TO APPLY Qualified applicants can submit an online application by clicking on the 'APPLY NOW' button from either the CAREERS page or from the JOB DESCRIPTION page. If you have previously applied online for other positions, enter your Username and Password. If it is your first registration, click on the CLICK HERE TO REGISTER hyperlink and enter a Username and Password; then click on the REGISTER button. EQUAL EMPLOYMENT OPPORTUNITY MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

At Braviant, we believe in hiring great talent and offering them the flexibility to achieve great results unbounded by geography. Braviant is offering a fully remote option for anyone in the U.S. who wants to join our team and help us grow. We also have an office space in the heart of downtown Chicago for those who prefer to get out of the house and collaborate with some colleagues in person. Who we are:Braviant is a leading provider of tech-enabled credit products that combines breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime to help millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work by Crain’s Chicago, BuiltIn Chicago and American Banker. We are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth. This role is Addison, TX-based with a 4-day in-office requirement and 1-day work from home. • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance., • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules., • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions., • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance., • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses., • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement., • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution., • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes., • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite., • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field, • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space., • Advanced proficiency in Python for programming, data analysis, and predictive modeling, • Proficiency in SQL, Excel and experience with data visualization tools, • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models, • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping, • Passion for keeping your skills up to date and exploring new methodologies, • The ability to distill complex problems and analysis into a clear and concise narrative Preferred • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • Hands-on experience applying AI to credit risk management Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: • Comprehensive healthcare including medical, dental, and vision coverage, • Generous paid time off, including PTO, sick time, and 13 company holidays, • 401(k) with company contribution, • Participation in annual discretionary bonus plan, • Regular team and company gatherings What it's like to work here:We're about achieving results while having fun along the way. We believe in solving problems together and building on each other’s ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact at Braviant. Want to learn more? Check us out on , and our _ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Location: US remote-friendly or any office location - SF, LA, CHI, NY The Data Science Team at Reddit is growing and we are looking for experienced Data Scientists to partner with our cross-functional partners (Product, Engineering, Designer, Marketing, Business Development etc.) to help us build and improve the systems that continuously drive our user and revenue growth. As a Senior Data Scientist on the team, you will have the opportunity to play a significant role in driving the success of key product areas at Reddit (Consumer, Ads, Safety etc.). You will lead and contribute to defining the product strategy through measurement and metrics design, experimentation and causal analyses, supporting product decisions via deep data analyses, and research. This person will be an industry technical leader with a solid technical background, strong business acumen, and excellent cross-functional stakeholders management skills. You will go through a general Data Scientists hiring process and get matched to the product area that best fits your background and interest. Responsibilities: • Develop action-oriented insights to drive the product strategy through observational causal analysis and experiment meta-analysis, and clearly communicate results to stakeholders up to the C-suite to take action based on the recommendations, • Uplevel experimentation practices on the team through guiding design, execution, and deep dive analyses to maximize learnings from A/B tests, • Create new ETLs, tables, dashboards, and other self-serve tools to enable other data scientists and cross-functional partners to find and interact with data seamlessly, • Design, evaluate, and/or measure team-level KPIs to enable quarterly goal setting and demonstrate team impact, • Regularly engage with stakeholders to gather feedback and share progress on work at all stages to ensure alignment between DS and other teams on business goals and outcomes, • Mentor more junior data scientists and business partners in data science best practices and methods to increase data literacy and improve decision making Required Qualifications: • Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research, • For M.S. holders: 5+ years of industry experience in applied science or data science roles, • For Ph.D. holders: 4+ years of industry experience in applied science or data science roles, • Expertise in querying relational databases (SQL) and programming languages (e.g., R / Python), • Deep understanding of online experimentation (A/B testing), causal inference, and statistical techniques, • Comfortable in innovative and fast-paced environments, and a bias toward action, • Strong technical communication / data storytelling skills and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguous and undefined problems by creating an action plan, getting feedback, and iterating Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-Remote #LI-NH1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 - $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit _. Reddit is continuing to grow our teams with the best talent. This role is_ within the United States. If you happen to live close to one of our physical office locations (San Francisco, Los Angeles, New York City & Chicago) our doors are open for you to come into the office as often as you'd like. Reddit is poised to innovate and grow like never before, and user safety is a critical accelerant of that growth. The Safety org is Reddit’s central Trust & Safety organization whose mission is to protect good users from bad experiences by stopping harmful content and behaviors across the site. We are looking for a Staff Data Scientist to join our Safety Insights Data Science team. In this role, you will partner closely with Safety Product, Engineering, and Machine Learning teams along with fellow Safety data scientists, to shape strategy, product development, define and evolve safety metrics, and drive analytics for some of the most important decisions in the Safety org. You will lead efforts to shape the measurement strategy for user safety, establish frameworks to quantify and monitor safety experiences, and evaluate the impact of interventions designed to protect Reddit’s communities. You will identify and prioritize opportunities for innovation, using rigorous analyses to size the potential impact of new initiatives and help the organization focus on the highest ROI areas to improve the safety experience at scale. Your work will guide decision-making and shape the strategic direction of Reddit’s safety efforts, ensuring that user safety remains a cornerstone of Reddit’s growth. The Safety org is one of Reddit’s largest divisions. Safety Insights works horizontally across it to provide scientific insight for product development, scaled abuse detection and mitigation, threat intelligence, and safety operations. We think big to innovate, unravel hard problems that cut across safety domains, and guide product development to protect our users from bad experiences while supporting Reddit’s long-term health and growth. Reddit has a remote-friendly work environment. If you live near one of our physical offices, our doors are open for you to come in as often as you’d like. Don’t live near an office? You can apply to work remotely from anywhere in the United States. Responsibilities: • Lead the measurement strategy for user safety by defining metrics, frameworks, and dashboards that quantify and monitor safety experiences across Reddit., • Use data and science-backed methods to inform the strategic direction of Safety product development and to rigorously assess the impact of product launches and policy or enforcement changes., • Design and execute experiments and quasi-experimental / inferential causal analyses (e.g., difference-in-differences, synthetic controls, matching) to estimate the impact and ROI of safety initiatives, and use these results for opportunity sizing and prioritization., • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to improve Reddit safety., • Tactically support product development and go-to-market, from problem framing and exploratory analysis through to experimentation, launch evaluation, and post-launch monitoring., • Stay current on advances in ML, LLMs, and related methods, and evaluate where they can meaningfully improve abuse detection, risk identification, and enforcement workflows., • Translate complex analyses into clear narratives and recommendations for stakeholders, acting as a data storyteller who can influence decisions at all levels of the Safety and Moderation orgs., • Mentor and up-level junior Data Scientists and Analysts in technical approaches for detecting and mitigating abuse, fostering a culture of rigor and curiosity. Required Qualifications: • Relevant experiences in Data Science, Applied Science, or Economist roles, preferably for safety, enforcement engineering, fraud etc., • Ph.D. or M.S. degree in Statistics, Economics, Computer Science, Applied Mathematics or other quantitative fields (If M.S., a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 4+ years of industry data science experience required), • Fluent with statistical analysis, programming languages (e.g., Python) and SQL., • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action, • Strong technical communication and demonstrated ability to discuss complex topics with technical and non-technical audiences alike, • Able to tackle ambiguously defined problems and deconstruct them into precisely scopable components that can be meaningfully addressed with data Benefits: • Comprehensive Healthcare Benefits and Income Replacement Programs, • 401k with Employer Match, • Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support, • Family Planning Support, • Gender-Affirming Care, • Mental Health & Coaching Benefits, • Flexible Vacation & Paid Volunteer Time Off, • Generous Paid Parental Leave #LI-SP1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit _. To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 - $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our _. Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change. This is an early role for a hands-on AI engineer to design and build the agents at the core of our platform, backed by a parent company with deep roots in engineering and manufacturing. You'll own the AI systems that set our product apart: agents that understand hardware workflows, anticipate problems, and take action on behalf of engineering teams. We're looking for an AI engineer who works equally well in applied research and production software. You've shipped LLM-powered agent systems to real users, you have strong intuitions about prompt engineering, tool use, and orchestration patterns, and you keep up with a field that changes fast. You're comfortable evaluating new frameworks, models, and techniques on short cycles and making pragmatic build-vs.-adopt decisions as the landscape shifts. We currently use LangChain's DeepAgent framework for our agent orchestration, but every layer of our AI stack is open to change. The right person for this role understands how agent systems work under the hood, not just one framework's abstractions, and can adapt as better tools and approaches emerge. This senior engineer will work alongside our engineering team and head of product to build, optimize, and operate the AI agents that give users proactive coordination, risk surfacing, status summaries, and AI-generated deliverables. The role is hands-on. You'll write code daily while contributing to AI architecture decisions and helping define how we evaluate and evolve our agent capabilities over time. Your day-to-day responsibilities will include: • Designing, building, and iterating on LLM-powered agents that coordinate across engineering disciplines, surface project risks, and generate structured deliverables (proposals, SOWs, status reports), • Owning the agent orchestration layer (currently LangChain DeepAgent) and continuously evaluating whether to extend, replace, or supplement it as new frameworks and patterns emerge, • Implementing robust tool-use patterns that connect agents to external systems (project management tools, CAD/PLM platforms, communication channels) via APIs and integrations, • Designing and tuning prompts, chains, and retrieval strategies to maximize agent reliability, accuracy, and usefulness across diverse hardware project contexts, • Building evaluation and observability infrastructure for agent performance, including tracing, cost tracking, latency monitoring, and automated quality benchmarks, • Developing streaming agent interfaces that surface real-time progress, reasoning transparency, and proactive alerts to end users, • Staying current with rapid advances in LLMs, agent frameworks, and related tooling, and translating that awareness into actionable recommendations for the team, • Collaborating with frontend engineers on the UX of AI-powered features and with backend engineers on data pipelines and API design, • Contributing to AI architecture decisions, code reviews, and engineering best practices Must Have: • 5+ years of production software engineering experience, with 2+ years focused on bringing LLM-based applications or agent systems to market, • Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development, • Hands-on experience building and deploying agentic systems using frameworks such as LangChain/LangGraph, CrewAI, AutoGen, or custom orchestration, • Strong understanding of LLM fundamentals: prompt engineering, function/tool calling, retrieval-augmented generation (RAG), context window management, and token economics, • Proficiency with Python in production environments, • Experience integrating LLM-powered features with external APIs, databases, and third-party tools, • Experience designing and operating background job / async task pipelines (Celery, RQ, Temporal, or similar) for long-running agent runs and reliable retries, • Experience building multi-agent systems with planning, delegation, and inter-agent communication patterns, • Demonstrated ability to evaluate and adopt new AI tools and frameworks quickly, with a track record of staying ahead of a fast-moving field, • Strong software engineering fundamentals: clean architecture, testing, version control, and code review practices, • Ability to balance rapid experimentation with production-grade reliability Highly Valuable: • Direct experience with LangChain's DeepAgent or LangGraph for multi-step agent orchestration, • Background in evaluation frameworks for LLM outputs (automated scoring, human-in-the-loop evaluation, regression testing for prompts), • Familiarity with vector databases and embedding pipelines (Pinecone, Weaviate, pgvector, or similar), • Experience with model serving infrastructure, fine-tuning workflows, or model selection/routing strategies, • Understanding of authentication/authorization patterns (OIDC, JWT) and secure handling of user data in LLM contexts, • Background in B2B SaaS platforms, project management tools, or technical collaboration products, • Familiarity with hardware development, engineering workflows, or project management concepts (phases, gates, dependencies, requirements traceability), • TypeScript / React fluency, enough to pair with frontend engineers on streaming agent UIs and reasoning-transparency surfaces Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies Technical Growth: Hands-on work at the frontier of applied AI, solving novel agent design challenges with real-world feedback loops Autonomy: Backed by Re:Build while operating with startup independence Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices Compensation: Base salary range of $143,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario. Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information. Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We harness deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential. Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complementary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're using their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment. Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview We are hiring a high-impact individual contributor to lead market-informed pricing and packaging for a rapidly scaling business. This role will shape how we understand customer willingness to pay, define value-based packaging, and ensure pricing is effectively executed across the business. You will partner closely with the Business Strategy team, which owns core pricing (unit economics, margin strategy, and discounting frameworks). Your role is to bring market and customer insight into pricing decisionsand ensure those decisions translate into clear, scalable, and executable models for Sales and systems. This is a 0→1 build role requiring strong analytical rigor, customer empathy, and the ability to operate in a fast-moving, ambiguous environment. Responsibilities • Lead market and customer research to inform pricing and packaging decisions, including segmentation, willingness to pay, and competitive benchmarking, • Design and evolve pricing and packaging models across committed, PAYG, and hybrid structures, aligned to core value drivers (e.g., compute, tokens, storage, throughput), • Develop scalable packaging constructs, including commit tiers, prepaid credits, and bundled offerings tailored to developers, startups, enterprise, and partners, • Continuously refine pricing and packaging based on customer behavior, consumption patterns, and market signals, • Partner with Business Strategy to translate pricing and discounting frameworks into clear, actionable guidance for Sales, • Support structuring of complex deals by ensuring alignment between customer needs, pricing constructs, and system capabilities, • Identify and escalate gaps between pricing strategy and field execution, incorporating feedback from Sales and customers, • Own implementation of pricing across CPQ, CRM, and billing systems, ensuring accurate configuration of contracts, pricing logic, and usage tracking, • Enable product launches by ensuring pricing readiness, metering definitions, and system alignment, • Establish and maintain pricing governance, versioning, and change management processes, • Build reporting and insights on consumption trends, pricing realization, and effective rates Who You Are • 7–12+ years in pricing, monetization, GTM strategy, or product strategy, • Strong experience with market research, customer segmentation, and pricing analysis, • Background in usage-based / consumption pricing models (cloud, AI, infra, developer platforms), • Ability to synthesize quantitative and qualitative inputs into clear decisions, • Comfortable working cross-functionally with Sales, Product, Finance, and Systems teams, • Proven ability to operate in ambiguous, fast-moving environments and build from 0→1, • Comfortable with SQL and experienced in extracting, joining, and analyzing data across multiple data sources Key employee benefits in the US: • Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) plan: Up to 4% company match with immediate vesting., • Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote work reimbursement: Up to $85/month for mobile and internet., • Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive compensation packages based on experience. Compensation Range $195,000 - $275,000 USD Benefits & Perks: • Competitive compensation, • Career growth and learning opportunities, • Flexibility and work-life balance, • Collaborative and innovative culture, • Opportunity to work on impactful AI projects, • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

At 2U, we are all in on purpose. We are motivated by our mission – to make learning limitless– and connected by our shared passion to deliver world-class higher education at scale. As the parent company of edX, a leading online learning platform, 2U powers thousands of higher education offerings – from free courses to full degrees. Together with our college, university, and corporate partners, we are helping accelerate careers and transform lives. What We’re Looking For: The Data Scientist II will partner with Product, Marketing, and Finance stakeholders to drive insight and decision-making for edX.org, 2U's open online learning marketplace. This is a high-leverage analytics role focused on product analytics, experimentation, and causal inference on large, complex behavioral datasets. We are looking for someone who is excited by ambiguous business problems, can triage a high volume of stakeholder requests and match each one to an appropriate level of rigor, and is skilled at turning messy data into clear, actionable insight. The ideal candidate is intellectually curious, takes the initiative to understand the domain and refine the question behind the question, and communicates complex findings in ways that educate and enable stakeholders. Responsibilities Include, But Are Not Limited To: • Product analytics and ad hoc analysis Serve as the analytics partner for Product, Marketing, and Finance teams on edX.org, delivering funnel, cohort, retention, and segmentation work. Triage a high volume of incoming requests and match the depth of each response to the decision at hand, from back-of-the-envelope estimates to deeper investigations., • Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis through interpretation. Where randomization isn't possible, use quasi-experimental methods such as difference-in-differences, propensity scoring, regression discontinuity, and synthetic control., • Metric definition and self-serve enablement Establish and maintain north-star, input, and guardrail KPIs. Build scalable dashboards and tooling that reduce the long tail of repeat requests., • Data modeling and validation Partner with Data Engineering to keep upstream sources trustworthy. Contribute to dbt models, lead EDA on unfamiliar datasets, and add checks that catch quality issues before they reach dashboards or partners., • Applied machine learning Use standard ML techniques (classification, regression, clustering) where they accelerate insight beyond what statistical analysis alone can deliver., • Domain learning and stakeholder education Develop a deep understanding of the edX product, learners, and business. Coach partners on statistical concepts, refine ambiguous questions, and turn complex findings into actionable recommendations. Things That Should Be In Your Background: • Education: Bachelor's degree in a quantitative field (data science, statistics, mathematics, computer science, economics, or similar). Graduate degree preferred., • Professional Experience: 3–5 years in data science, product analytics, or a related quantitative role, • Communication: Able to refine ambiguous questions, translate findings for business partners, and clarify what the results do and don't say., • Statistics & data rigor: Solid foundation in hypothesis testing, power analysis, confidence intervals, and multiple comparisons, plus strong EDA and validation skills on unfamiliar data, • Experimentation & causal inference: Running A/B tests end-to-end, plus quasi-experimental methods where randomization isn't possible (e.g., difference-in-differences, propensity scoring, regression discontinuity, synthetic control). Prefer experience with modern experimentation platforms (e.g., Statsig, Eppo, Optimizely, LaunchDarkly)., • Product analytics & domain: Hands-on with platforms like Amplitude, FullStory, or Mixpanel, plus prior work in EdTech, online learning, or a comparable consumer subscription / marketplace product, • Programming & data: Strong Python (pandas, NumPy, scikit-learn) and advanced SQL on large, complex datasets. Prefer exposure to large-scale data platforms (e.g., Snowflake, BigQuery, Databricks, Spark). While this position is open to remote candidates across the U.S., we will prioritize those who live in the Washington-Baltimore metropolitan area and who are available to come into our Headquarters in Arlington, VA two days a week. Benefits & Culture Our global employee base is a diverse collection of innovators, dreamers, and doers working together to transform lives through higher education. We believe that every employee can advance our shared purpose, and that life at 2U should be fun and meaningful. If you’re excited by the opportunity to provide millions of learners and counting with access to world-class higher education, then join us – and do work that makes a difference. We offer comprehensive benefits (unique per country) and excellent work/life balance. Full-time, U.S.benefits include: Medical, dental, and vision coverage Life insurance, disability, and 401(k) employer match Free snacks and drinks in-office Generous paid holidays and leave policies, including unlimited PTO Additional time off benefits include: volunteer days, parental leave, and a company-wide winter break The anticipated base salary range for this role is ($107,300 - $124,200), with potential bonus eligibility. Salary offers are made based on the candidate’s qualifications, experience, skills, and education as they directly relate to the requirements of the position, budget for the position and cost of labor in the market in which the candidate will be hired. 2U Diversity and Inclusion Statement At 2U, we are committed to building and sustaining a culture of belonging, respect, and inclusion. We are proud of the steps we’ve taken to bring together an employee base that embodies diverse walks of life, ideas, genders, ages, races, cultures, sexual orientations, abilities and other unique qualities. We strive to offer a workplace where every employee feels empowered by what makes us different, as well as by how we are alike. 2U is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodations, please reach out to us at: _. About 2U 2U partners with the world's top universities and companies to develop and deliver education programs that accelerate careers and transform lives. Through partnerships with the world’s leading colleges, universities, and companies, 2U delivers thousands of online programs to millions of learners worldwide on edX, its global learning platform. From executive education and professional credentialing to master’s degree programs and free, open courses, 2U transforms how top institutions deliver workforce-aligned online education, enabling professionals to advance without pausing their careers. Learn more at 2U.com. The above statements are intended to describe the general nature and level of work performed by individuals assigned to this position, and are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. 2U is an equal opportunity employer that does not discriminate against applicants or employees and ensures equal employment opportunity for all persons regardless of their race, creed, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, marital status, disability, citizenship, military or veterans’ status, or any other classifications protected by applicable federal, state or local laws. 2U’s equal opportunity policy applies to all terms and conditions of employment, including but not limited to recruiting, hiring, training, promotion, job benefits and pay.

TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. As a Senior Data Scientist, Attribution, you will be embedded within a specific risk category (e.g., Sanctions, Cybercrime, Counter Terrorism) and own the attribution algorithms that drive direct customer outcomes — from seizing illicit funds to disrupting crypto-enabled crime networks. You'll operate as equal parts Subject Matter Expert and Data Scientist, translating deep domain knowledge into production-grade intelligence. The impact you'll have here: Own end-to-end attribution for a risk category: identify high-impact targets, build algorithms (heuristics, ML models, AI agents), and ship to production. Collaborate tightly with — and become — a Subject Matter Expert for your category, translating customer and GTM needs into actionable intelligence. Navigate all intelligence layers (Network / On-chain / Protocol) to uncover patterns competitors can't replicate. Ship production-quality code — heuristics, ML models, and data pipelines — with rigorous evaluation and scalable architecture. Drive measurable outcomes: billions in illicit funds traced, seized, or prevented. What we’re looking for: Quantitative background (Computer Science, Statistics, Engineering, Economics, Physics). Strong problem-solving mindset: gets to the root cause, leverages creativity, and thrives in ambiguity with a hypothesis-driven, iterative approach. Demonstrated domain curiosity — ability to absorb and apply expertise in blockchain, fraud, money laundering, or cybercrime. 6+ years in an analytical role with strong SQL, Python, and AI-assisted coding tools (Cursor, Claude Code). Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production code. Strong async communication (Loom, Slack, Notion) and ability to own work independently in a remote environment. Bonus: Deep ML experience, prior work in crypto, financial crime, or financial institutions. About the Team: Data Scientists are embedded within risk categories teams (Sanctions, Cybercrime, Nation States, etc.), working closely with SMEs, engineers, and cross-functional partners. Fully remote and globally distributed. Most overlap occurs 7am–12pm PST for meetings and collaboration. All team members must have at least 4-hour overlap with PST business hours. On-call responsibilities: Analytics on-call (< 1 hr/day monthly) and Data Science on-call (1-2 hrs/day every 3 months). Learn about TRM Speed in this position: Rapid Customer Impact. Deliver last-minute, high-stakes projects for key customers — turning around attribution insights in days, not weeks. MVP to Production. Build complex algorithms with tight timeframes (1-2 sprints for MVP) and iterate based on real customer feedback. Parallel Execution. Juggle multiple priorities across categories and stakeholders while maintaining quality and speed. We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving. At TRM, you should expect: Priorities and targets to change quickly as we experiment and iterate Work that often requires operating with a high degree of ambiguity A high level of personal ownership and accountability Close collaboration across teams and functions Frequent, high-touch communication Creative problem solving and out-of-the-box thinking A pace that rewards urgency, adaptability, and outcomes This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment. We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here. At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: _ AI fluency is a baseline expectation at TRM. We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks. At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to: Accelerate repeatable workflows Structure and solve problems Improve output quality Increase speed and leverage You will be evaluated on applied AI fluency during the interview process. We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions. Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly. Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday. Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger. At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast. TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore. By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with the _. Our typical hiring cycles for specialized roles span 24 to 36 months. Accordingly, we retain your personal information for up to 36 months to evaluate your application and to consider you for current and future employment opportunities, unless you request earlier deletion or a different retention period is required or permitted by law. To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this _. No response will be provided to inquiries unrelated to job posting compliance. The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this _. TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.

About Upstart At Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 1,800 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City (opening Summer 2026), you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you. The Team: Upstart’s Product Analytics team is the compass for our product development, dedicated to transforming complex user behavior and platform data into clear, actionable product strategies. Operating at the intersection of data, engineering, and product management, the team designs rigorous experiments, builds scalable data infrastructure, and uncovers the deep insights that drive continuous innovation and ensure our lending products deliver exceptional value. As a Principal Product Analyst supporting our unsecured installment products (including Personal Loans, Relief Loans, and Cashline), you will act as a strategic partner to product leadership, owning the analytics roadmap for a core area of Upstart's business. You will champion a culture of experimentation, execute high-impact analyses to decode user journey dynamics, and collaborate seamlessly with Product, Engineering, and Machine Learning teams to translate complex data into scalable, growth-driving product enhancements. How you’ll make an impact • Drive product strategy through data: Partner closely with Product Management, Engineering, and Design leaders to define success metrics, size new opportunities, and shape the strategic roadmap for our unsecured installment products., • Lead rigorous experimentation: Own the end-to-end A/B testing lifecycle—from hypothesis generation and experimental design to deep-dive analysis and executive readout—to continuously optimize user funnels and product features., • Execute high-impact behavioral analyses: Dive deep into complex user journey data to uncover friction points, retention drivers, and growth levers, translating raw telemetry into actionable product recommendations., • Architect scalable data solutions: Collaborate with Engineering teams to define tracking requirements for new product launches, ensuring high data quality and building intuitive dashboards that empower teams with self-serve insights., • Elevate the analytics culture: Act as a thought leader within the Product Analytics organization by mentoring peers, establishing best practices for analytical rigor, and championing a deeply data-informed culture across Upstart. _ • 10+ years of professional experience in product analytics, data science, or a similar quantitative role focused on product optimization and user behavior., • Expert-level proficiency in SQL & strong applied experience with 1+ statistical programming language (Python or R), • Proven track record of designing, executing, and evaluating A/B tests, with a deep understanding of experimental design, hypothesis testing, and statistical rigor., • Hands-on experience building foundational reporting and interactive dashboards using modern Business Intelligence and data visualization tools (e.g., Looker, Tableau, or similar). _ • Master’s / PhD in a quantitative field (e.g., Statistics, Economics, Computer Science, Data Science), • Experience working with lending products, risk modeling, or financial services analytics., • Excellent communication skills with a proven ability to present complex data insights in a clear and actionable manner., • Comfort with ambiguity and a strategic mindset for solving complex, unstructured problems. Position location This role is available in the following locations: Remote Time zone requirements The team operates on the East/West coast time zones. Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. #LI-REMOTE #LI-MidSenior At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location–with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $182,300 - $252,500 USD What you'll love At Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect: • Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly, • Retirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada), • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only), • Comprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada., • Health Savings Account contributions from Upstart for eligible plans (US only), • Income protection benefits, including life insurance and disability coverage for added financial security, • Paid time off, sick leave, and company holidays, in line with local requirements, • Paid family and parental leave to support caregiving and major life moments (duration varies by country), • Family-centered benefits to support fertility, parenthood, and caregiving needs, • Employee Assistance Program (EAP) offering mental health support and life-centered resources, • Financial wellness resources, including access to financial planning tools and a financial concierge service (US Only), • Annual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you, • Annual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from, • Connection and community through team events, all-company updates, and employee resource groups (ERGs), • Onsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City (opening Summer 2026!) For roles based in Canada, please note that we are not currently able to hire in Quebec. Upstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email candidate_accommodations@upstart.com _

We’re seeking a Project Manager with 3+ years of experience leading on-site data collection projects with a focus on user studies. This role owns end-to-end delivery—timelines, budgets, and client-facing communications—while ensuring high-quality execution through strong attention to detail and strong team management. The position is remote, with a preference for candidates based in the San Francisco Bay Area. We will also consider strong candidates in Atlanta, GA, or New Jersey/NYC. Travel across the USA is required for new project launches and, as needed, for on-site realignment and key project checkpoints. Key Responsibilities: Lead end-to-end delivery of on-site data collection projects supporting user studies (e.g., usability tests, in-context/field research, intercepts, diary studies with in-person components). Build and manage detailed project plans and schedules (workback plans, run-of-show agendas, staffing schedules, milestones, dependencies) to ensure on-time execution. Own budget management: forecasting, tracking spend vs. plan, managing vendors and contractors, controlling scope, and documenting change requests. Create and deliver client-facing presentations: kickoffs, weekly status updates, risk/issue reviews, and final project readouts; translate complex details into clear narratives. Coordinate on-site logistics: site readiness, staffing, equipment/materials, shipping, access/security requirements, participant flow, and contingency planning. Manage and support project team members (internal staff, contractors, and vendors): set expectations, assign work, track deliverables, remove blockers, provide feedback, and ensure accountability. Ensure data quality and compliance with study requirements (consent, privacy/PII handling, documentation standards). Maintain rigorous project documentation and reporting (status reports, action logs, risk registers, budget trackers, timeline updates). Identify risks early and drive mitigation (no-shows, site constraints, equipment failures, vendor delays), escalating with clear options and recommendations. Required Skills: 3+ years of project management experience in on-site data collection, research operations, and/or user study execution. Demonstrated strengths in: time management, budget management, client-facing presentations, attention to detail, and team member management. Experience coordinating vendors, contractors, and field teams. Strong written and verbal communication and stakeholder management skills. Comfortable operating autonomously in a remote environment. Education: Bachelor’s degree (minimum) in a related field such as Business Management, Economics, Computer Science, or equivalent relevant discipline/experience. Optional Skills: Advanced proficiency across Microsoft Office tools (Excel, PowerPoint, Word, Outlook, Teams; plus SharePoint/OneDrive as applicable). Working knowledge of Android devices and Apple iOS/macOS devices (setup, basic troubleshooting, OS updates, device management basics) to support on-site study execution. Scrum Master experience (or Agile project delivery experience). Location/Travel Requirements: Remote role. Preferred locations: San Francisco Bay Area, Atlanta, GA, New Jersey/NYC (open to other US locations for exceptional candidates). Travel across the USA is required for new project launches and, as needed, for on-site realignment, issue resolution, and key milestones. Travel frequency varies by project pipeline and study schedule. Remote • San Francisco, California, United States, • •Atlanta , Georgia, United States, • •Princeton, New Jersey, United States, • •New York City, New York, United States•+3 moreProductionFull-time, Permanent Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. • Develop a deep understanding of customer journey phases and key business metrics, • Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments, • Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights, • Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes, • Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends., • Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets, • Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments, • Translate complex concepts into implications for the business via excellent communication skills, both verbal and written, • Understand what matters most and prioritize ruthlessly, • Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate, • Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field, • 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting, • Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction, • Significant experience with SQL and large unstructured datasets such as Hadoop, • Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees, • Solid background in running multivariate experiments to optimize a product or revenue flow, • Strong verbal and written communication skills, • Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus, • Product analytics experience in a SAAS company, • Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field US Zone 1 This role is not available in Zone 1 US Zone 2 $149,200 - $201,800 USD US Zone 3 $132,600 - $179,400 USD

Enterprise Knowledge (EK) is hiring for a full-time Semantic Data and AI Engineer to join our growing Knowledge and Data Services Sector. In this role, you will be responsible for designing and deploying cutting-edge data discovery, integration, and governance solutions for a wide range of organizations around the world. The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. This individual will be able to quickly learn new technologies and apply them to business challenges at large corporations, organizations, and federal agencies. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges with a strategic mindset to advise clients on enterprise AI transformations. As an EK Semantic Data and AI Engineer, you will join a fast-growing company that is committed to equity and inclusion, have the opportunity to work in a collaborative workplace, take advantage of our unique , and help build our innovative culture. To read more about the impactful work we are doing and to see the latest thought leadership from EK, follow us on . • Work with data subject matter experts and business users to effectively understand and model their domain of knowledge, • Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets, • Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation, • Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration, • Support a variety of business intelligence projects using AI-based solutions, • Analyze complex datasets and communicate insights to both technical and non-technical stakeholders, • Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages, • Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures, • Work with internal and external teams to contextualize data engineering work into larger project context As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer. Our office is located in Arlington, VA, and operates on a hybrid model. While local candidates are preferred, we are also able to hire remote candidates residing in the following states: CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, and WA. • Bachelor’s degree in math, statistics, economics, data science, computer science, or a related field, • 5+ years experience working on data analysis project(s) designing reports and designing data analysis approaches and visualizations in a production setting, • Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products, • Experience applying machine learning methods and statistical analysis to business use cases, • Proficiency in programming languages such as Python, R, or similar for data analysis and modeling, • Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting, • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models, • Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches), • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift, • Familiarity with data modeling, database architecture, and data integration, aggregation and normalization across heterogeneous sources, • Interest in developing as a consultant and taking on additional responsibilities for delivering and growing work, • Experience designing and working with relational databases, • Experience designing and working with graph databases and SPARQL, • Experience with AI governance practices covering model monitoring, evaluation frameworks, and access entitlements, • Comfortable working with containerized environments; Docker proficiency expected, Kubernetes familiarity a plus, • Experience with cloud platforms (AWS, Azure, or GCP) for deploying and operating AI and data solutions, • Exposure to ontology or taxonomy design, and familiarity with taxonomy/ontology management tools (Progress Semaphore, PoolParty, Synaptica, Mondeca, etc.), • Experience designing and planning data science projects to meet business requirements, • Experience implementing agentic AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, BAML, or equivalent EK considers a broad range of factors in considering employee salary including a candidate’s skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $150,000 to $210,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate’s qualifications. Enterprise Knowledge (EK) is committed to protecting your personal information. When you submit your application, we collect and process your personal data solely for recruitment and hiring purposes. We will not use your information for any other purpose without your explicit consent. We may share your information with third parties only as necessary to evaluate your application or comply with legal requirements. If we need to use your data for a purpose beyond the original intent or disclose it to additional third parties, we will provide you with prior notice. You have the right to access the personal information we hold about you and to request corrections, amendments, or deletion of any inaccurate data or data processed in violation of applicable privacy principles. Requests for such changes will be reviewed and accommodated unless the burden or expense of providing access would be disproportionate to the risks to your privacy, or where the rights of other individuals may be affected. By submitting your application, you acknowledge that you have read and understood this notice. If you have any questions about how we handle your personal data or need to update your information, please contact us at careers@enterprise-knowledge.com

The Territory Sales Manager is responsible for driving growth through the sales of DeepHealth’s uniquely positioned AI-powered Radiology Operating System and Enterprise Imaging Platform, specifically targeting radiology practices, diagnostic imaging centers, and hospitals and health systems. The Territory Sales Manager is the primary point of contact for prospects and clients in the West region, building relationships, understanding clinical and operational challenges, and delivering scalable imaging solutions that improve productivity, operational efficiency, and outcomes. Essential Duties and Responsibilities • Lead and execute territory sales strategy, with full accountability for new bookings and opportunity development within radiology practices, imaging centers, and hospitals/health systems., • Develop and manage a robust pipeline of provider accounts across the West through self-sourced outreach, strategic campaigns, and partner channels., • Engage clinical (radiologists), operational (imaging directors), and IT (CIO, CMIO) stakeholders to deliver tailored product presentations and lead complex sales cycles., • Build strong relationships that drive business case development around workflow optimization, AI triage/prioritization, and imaging platform consolidation., • Collaborate cross-functionally with Sales Engineering, Product, Client Success, and Marketing to align solutions to buyer needs and accelerate deal velocity., • Maintain pipeline hygiene and accurate forecasting within Salesforce. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Requirements: • 3+ years of B2B sales experience in healthcare IT, SaaS, imaging solutions, or medical device sales., • Bachelor’s degree required; clinical, healthcare informatics, or technical background preferred., • Track record of selling into radiology groups, imaging centers, or hospitals/health systems, • Deep understanding of healthcare buyer personas and enterprise purchasing processes, • Consultative, value-based selling approach with strong interpersonal and presentation skills, • Comfortable working remotely and managing territory travel (including overnight travel as required), • Valid U.S. driver’s license and reliable transportation, • Experience selling PACS, VNA, RIS, AI-based imaging tools, or radiology workflow software., • Knowledge of radiologist staffing challenges, imaging economics, and value-based care delivery., • Familiarity with the procurement lifecycle in healthcare, including RFI/RFP management and IT/security review., • Previous success selling into multi-site provider networks or regional health systems Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. The position requires the ability to travel up to 50% of the time, drive a vehicle, and utilize other forms of transportation. 50% Domestic Travel Required. Salary range; $150,000-$170,000 Remote • Seattle, Washington, United States$150,000 - $170,000 per yearMarketing & Sales Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

At Altarum, we believe better health outcomes start with smarter systems, stronger partnerships, and data-driven decisions. We work alongside federal and state agencies and mission-focused organizations to improve health outcomes for communities that need it most. We are seeking a strategic and collaborative Senior Manager, FP&A to join our finance leadership team. Reporting directly to the CFO, this role will play a critical part in forecasting, budgeting, pricing strategy, and project financial management across a diverse portfolio of government contracts and mission-driven initiatives. This is an opportunity for a finance leader who thrives in a fast-paced, analytical environment and enjoys partnering cross-functionally to influence business decisions, improve operational performance, and strengthen financial planning processes. If you bring deep government contracting finance experience, advanced modeling expertise, and a passion for using financial insights to support meaningful work, we’d love to hear from you. • Lead recurring forecasts, EAC updates, and financial planning activities across a portfolio of government contracts, • Identify financial risks and opportunities and provide actionable recommendations to leadership, • Drive annual budgeting and periodic reforecasting processes, including templates, reporting, and executive-ready summaries, • Partner closely with project managers and division leadership to improve funding utilization, margin performance, and project financial discipline, • Oversee pricing support through management of a pricing-focused Financial Analyst, • Review pricing models, assumptions, and cost volumes for proposals and contract modifications, • Apply government contracting expertise related to indirect rates, allowability, funded ceilings, and contract compliance, • Support compliant and competitive pricing strategies across contract types including cost-reimbursable, T&M, and fixed-price contracts, • Utilize Deltek Costpoint (Planning module preferred) to maintain accurate plans, reconcile actuals, and improve reporting integrity, • Develop and maintain audit-ready financial models, standardized templates, and forecasting tools, • Identify opportunities for automation, reporting enhancements, and process optimization, • Explore innovative uses of AI within FP&A to improve forecasting accuracy, pricing strategy, and margin optimization, • Coach and develop a Financial Analyst, ensuring quality, prioritization, and cross-functional collaboration, • Foster a culture of accountability, continuous improvement, and analytical excellence, • Bachelor’s degree in Finance, Accounting, Business, Economics, or a related field (or equivalent experience), • 8+ years of progressive experience in government contract finance, pricing, and project financial management, • Strong expertise in forecasting, budgeting, variance analysis, and executive financial reporting, • Advanced Excel skills, including complex financial modeling, pivots, scenario analysis, and data manipulation, • Experience with Deltek Costpoint required; Planning module experience a plus, • Working knowledge of government contracting principles including indirect rates, allowability, and contract funding structures, • Experience supporting healthcare-focused government contracts (CMS, HHS, CDC, NIH, HRSA, Medicaid, public health, etc.), • Knowledge of FAR Part 31 and/or 2 CFR 200, • Experience supporting audits, negotiations, or proposal pricing activities, • Familiarity with Power BI or similar analytics tools, • Prior people leadership experience, • CPA, CMA, or Master’s degree, • Strong analytical and financial modeling capabilities, • Exceptional attention to detail and quality control, • Ability to influence stakeholders across functions and levels, • Clear, concise communication and executive storytelling with data, • Process-oriented mindset with a passion for continuous improvement, • Sound judgment and adaptability in complex or ambiguous environments At Altarum, your work contributes directly to improving health systems and advancing equity in communities nationwide. You’ll join a collaborative, mission-driven organization where financial strategy supports meaningful social impact. If you’re looking for a leadership opportunity where your expertise can influence both organizational performance and public good, we encourage you to apply. • Remote with occasional in-person collaboration days, • If you’re near one of our offices (Arlington, VA; Silver Spring, MD; or Novi, MI), you’ll join us in person one day every other month (6 times per year) for a fun, purpose-driven Collaboration Day. These days are filled with creative energy, meaningful connection, and team brainstorming!, • Non-local employees will join these days virtually and may be asked to join us occasionally in-person., • Candidates must be currently eligible to work in the United States; sponsorship is not available., • All work must be performed within the continental U.S. for the duration of employment, unless required by contract., • Ability to work core hours aligned with Eastern Time, unless otherwise approved by your manager., • Remote employees must maintain a dedicated, ergonomically appropriate workspace free from distractions, with reliable internet and a mobile device that supports efficient work. $124,040 - $149,703.75 a year At Altarum, we carefully consider a wide range of compensation factors and rely on market indicators to get it right. Individual compensation packages are based on numerous factors unique to each candidate, including skill set, experience, qualifications, and other job-related reasons. This salary range is not a guarantee of compensation, as the final offer amount will vary based on these factors. In addition to base salary compensation, Altarum Enterprise employees enjoy the following benefits: • Competitive Medical, Dental and Optical plans, • Generous Paid Time Off, 8 Company observed holidays plus 3 floating holidays, • Tuition Assistance, • 401K Plan (3% employer contribution plus opportunity for gainsharing), • Life, AD&D & Disability coverage, • A flexible work environment and more! Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system. We work primarily on behalf of federal and state governments to design and implement solutions that achieve measurable results. We combine our expertise in public health and health care delivery with technology development and implementation, practice transformation, training and technical assistance, quality improvement, data analytics, and applied research and evaluation. Our innovative solutions and proven processes lead to better value and health for all. Altarum is an equal opportunity employer that provides employment and opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, _ turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: • Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products., • Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions., • Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions., • Establish and maintain best practices for data collection, analysis, and reporting., • Deliver actionable insights and recommendations focused on landing tangible product impact., • Help foster a culture of data-driven decision-making and continuous improvement within the product teams., • Ensure the integrity and accuracy of the data used for analysis and reporting., • While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: • Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data., • Expertise in translating complex data into insights that are actionable for cross-functional teams., • Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience., • Experience in building and maintaining reliable analytics infrastructures., • Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders., • Experience with 0 to 1 product initiatives is a plus, though not required., • A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: • Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience., • Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required., • Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required., • Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus., • Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential., • Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $160,000 - $200,000 USD Tier 2 Pay Range (All other US Locations) $140,000 - $176,000 USD Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more _

Finite State partners with product security teams, the guardians of our connected world, to create transparency for their connected devices and supply chains. Our platform handles connected devices and embedded systems across all industries, including those found in enterprises, healthcare, utilities, connected vehicles, manufacturing facilities, critical infrastructure, and government entities. We are a fast-growing series-B company with a fully distributed workforce. Led by a team of seasoned experts, we are a mission-driven team passionate about arming our customers with the actionable insights, critical vulnerability data, and remediation guidance necessary to mitigate product risk and protect the connected attack surface. We are committed to a remote first culture. MANAGER, PRODUCT SECURITY TECHNICAL MANAGED SERVICES SUMMARY • Operational leader accountable for hands-on management, planning, and delivery of all Finite State Product Security Technical Managed Services binary firmware analysis, device penetration testing, threat and risk assessments (TARAs), SBOM/SCA generation, vulnerability response coordination, triage and remediation, and long-term engagement support for connected product OEMs and manufacturers (strategic accounts), • Drives operational design, build-out, and scale of new and emerging managed services PSIRT-as-a-Service (PSIRTaaS), EU Cyber Resilience Act (CRA) sustainable compliance, and adjacent offerings with Finite State's AI Product Security Automation Platform as the delivery spine, • Direct people manager for the Technical Services team, accountable for hiring, onboarding, mentorship, performance management, capacity planning, skills development, and utilization optimization across a multi-disciplinary team of product security engineers and analysts, • Customer-facing managed services delivery leader accountable for engagement quality, technical accuracy, schedule adherence, customer satisfaction, renewal, and expansion across the active managed services portfolio, • Cross-functional partner to Product, Engineering, Sales, Marketing, Legal, and Regulatory Advisory Services Team, channeling field-level delivery experience into platform requirements, packaging and pricing, go-to-market enablement, and regulatory positioning ESSENTIAL FUNCTIONS Managed Service Delivery Operations • Manages day-to-day execution of all active managed technical services customer engagements; ensures delivery quality, technical accuracy, schedule adherence, and consistent application of Finite State methodology across binary analysis, penetration testing, TARA, SBOM/SCA, vulnerability management, and remediation advisory, • Owns the full engagement lifecycle: scoping, statement of work, kickoff, execution, deliverable review, customer communications, and renewal/expansion planning, • Establishes, maintains, and continuously improves service delivery playbooks, technical methodologies, deliverable templates, peer review gates, and quality acceptance criteria, • Drives consistent integration of Finite State automation platform into every engagement; ensures platform capabilities are leveraged to maximum effect and that field experience feeds the platform roadmap, • Defines, monitors, and reports Service Level Agreements (SLAs), Service Level Objectives (SLOs), and engagement-level KPIs including billable utilization, time-to-deliverable, defect/escape rates, customer satisfaction (CSAT/NPS), and renewal rate, • Acts as senior technical escalation point for engagement issues, customer concerns, and complex or contested technical findings New Service Build-Out and Operationalization • Leads operational design and standup of new product security managed service offerings — PSIRTaaS, EU CRA sustainable compliance, and other emerging services — including process design, runbook authoring, tooling integration, staffing model, pricing inputs, contractual scaffolding, and SLA framework, • Partners with Product to ensure platform capabilities required for new managed services are scoped, prioritized, instrumented, and operationalized for service delivery, • Designs and operates the customer-facing PSIRTaaS function: continuous vulnerability monitoring, automated and human-assisted triage, advisory issuance, CVE coordination with the appropriate CNA, customer disclosure workflow, remediation tracking, and post-disclosure verification, • Builds the operating model for sustainable EU CRA compliance services: conformity assessment support, Annex I essential requirements mapping, vulnerability handling obligations, technical documentation maintenance, and post-market surveillance support for connected product manufacturers People Management and Team Development • Hires, onboards, develops, mentors, and retains a team of product security engineers and analysts across multiple technical disciplines (binary/firmware analysis, offensive security, embedded systems, SBOM/SCA, regulatory engineering, vulnerability management), • Sets individual performance objectives aligned to team and company OKRs; conducts regular 1:1s, delivers ongoing performance feedback, runs formal review cycles, and addresses performance issues directly and constructively, • Builds and maintains team capacity plans and skills inventories; identifies gaps and drives hiring, cross-training, certification, and external training plans to close them, • Manages utilization across the team to balance billable engagement work, capability development, and reserved capacity for new service launches and surge demand, • Cultivates a culture of technical excellence, intellectual honesty, customer empathy, peer review, and continuous learning; fosters psychological safety in a fully remote operating environment Customer Engagement and Account Management • Serves as senior delivery contact and trusted technical advisor for strategic customer accounts; owns the technical health of those relationships, • Leads recurring service reviews, escalation discussions, and quarterly business reviews; ensures customer outcomes are visible, measurable, and tied to renewal and expansion narratives, • Partners with Sales on scoping, statements of work, pricing alignment, and pre-sales technical engagement; provides expert input to deal qualification and risk, • Identifies and qualifies expansion opportunities (additional products, additional service lines, multi-year commitments) and works with Sales to convert them Financial and Operational Performance • Owns operational delivery against the Services ARR plan; accountable for margin discipline, utilization targets, and forecast accuracy, • Provides input to pricing, packaging, and capacity planning for current and new service offerings, • Tracks and reports delivery cost, gross margin per engagement, write-down and write-off rates, and other services-economics metrics; surfaces structural issues with concrete remediation proposals, • Produces timely, accurate forecasts of staffing, hiring, and external contractor needs against the demand pipeline QUALIFICATIONS EDUCATION AND/OR EXPERIENCE • Bachelor's degree in Computer Science, Mathematics, Physical Sciences, Electrical/Computer Engineering, or equivalent demonstrable experience and certifications; advanced degree desirable, • Minimum 8 years of relevant experience in product security, embedded/connected device security, application security, or offensive security — a meaningful portion delivered in a customer-facing services, consulting, or managed services context, • Minimum 4 years of direct people management experience, including hiring, performance management, mentorship, and team development, • Demonstrated experience standing up new service offerings or productizing technical capabilities within a managed services or information technology environments is strongly preferred, • Hands-on technical depth in two or more of: binary/firmware analysis, penetration testing of embedded or IoT systems, threat modeling and TARA, SBOM and software composition analysis, vulnerability management and disclosure (CVE/CNA workflows), PSIRT/ESIRT operations KNOWLEDGE, SKILLS, ABILITIES Technical • Deep working knowledge of connected and embedded device security, including firmware, microcontrollers, wireless SoCs, RTOS environments, and integrated IoT systems, • Hands-on familiarity with binary and firmware analysis tooling and methodology (Ghidra, IDA, Binary Ninja, radare2, and platform-driven equivalents), • Strong understanding of SBOM standards (SPDX, CycloneDX), VEX, software composition analysis, and vulnerability correlation against CVE/CPE/PURL, • Strong understanding of vulnerability disclosure and PSIRT operating models, including ISO/IEC 29147 (vulnerability disclosure) and ISO/IEC 30111 (vulnerability handling), CVSS v3.1/v4, and CNA operating procedures, • Familiarity with offensive security methodology applied to embedded systems, including hardware-adjacent attacks (fault injection, side-channel concepts, debug interface exploitation) at a depth sufficient to scope, review, and quality-control the work, • Working knowledge of TARA methodologies (ISO/SAE 21434 for automotive, IEC 62443-3-2 for industrial, MITRE ATT&CK and EMB3D where applicable), • Working knowledge of applied cryptography, secure protocols, secure boot, secure update, and key management as applied to embedded systems, • Ability to ramp quickly on AI and agentic AI platforms and productivity systems; familiarity with the automated firmware/binary analysis platform category and AI-assisted vulnerability triage is preferred Standards and Regulatory • Working knowledge of EU Cyber Resilience Act (CRA), including Annex I essential requirements, vulnerability handling obligations, conformity assessment routes, and post-market surveillance expectations, • Working knowledge of IEC 62443, ETSI EN 303 645, NIST IR 8259 series, NIST SSDF (SP 800-218), and US Executive Order 14028 / OMB M-22-18 SBOM requirements, • Familiarity with ISO 27001, SOC 2 Type I/II, and adjacent compliance regimes as they apply to a managed services delivery organization Managed Services Operations • Demonstrated ability to design and operate service delivery functions to defined SLAs, SLOs, and quality standards, • Demonstrated ability to manage utilization, capacity, and engagement profitability in a billable services context, • Strong project and program management capability Leadership and Communication • Excellent written and verbal communication skills; operates fluently with executives, technical individual contributors, customer technical staff, customer executives, regulators, and partners, • Strong people leadership: hiring, coaching, performance management, conflict resolution, and team building in a fully remote environment, • Demonstrated ability to translate technical findings into business and regulatory consequences for non-technical stakeholders, • Customer-facing executive presence: owns escalations, leads difficult conversations, and represents Finite State at the most senior levels of customer organizations Certifications • One or more of the following is required: CISSP, CSSLP, CCSP, GIAC (GPEN/GXPN/GREM/GICSP), OSCP, or equivalent demonstrated technical depth, • One or more of the following is desirable: CISM, CRISC, CISA, ISO/IEC 27001 Lead Auditor or Lead Implementer, IEC 62443 Cybersecurity Expert, PMP/PgMP, ITIL Foundation or higher Tools and Environments • Familiarity with vulnerability analysis and reverse engineering tools, • Familiarity with SAST/DAST/IAST tooling categories, • Familiarity with offensive security tooling, • Familiarity with collaboration and delivery tooling, • Comfort operating in a fully remote, cloud-only company environment Our salary ranges are categorized into two tiers based on geographic location: • Tier 1 (San Francisco, New York, Seattle): $200,000 - $215,000, • Tier 2 (All Other Locations): $190,000 - $207,000 The final base salary will be determined by experience, skill set, and specific location. In addition to base pay, this role is eligible for equity and benefits. At Finite State, we're on a mission to secure the connected world. Our platform empowers product security teams to detect vulnerabilities, manage software supply chain risks, and ensure compliance across complex device ecosystems. From IoT to critical infrastructure, we provide unparalleled visibility into firmware and software components, helping organizations protect their products and customers. We move with urgency and intent — we’re transparent, own outcomes, put customers first, speak up, and learn fast — turning evidence into action. CLARITY is how we move fast without breaking trust. • C - Customer first - Learn from customers. Ship with urgency., • L - Leverage - Outsource the routine. Own the result., • A - Agency - We take responsibility—end to end., • R - Results - Ship value. Improve fast., • I - Integrity - Speak up. Experiment boldly. Be kind., • T - Transparency - Clear context. Faster decisions., • Y - "Why" - Our mission—securing the connected products humanity depends on—is the reason Finite State exists. CLARITY is how we make that mission real, every day, at speed Bold Innovation – We push boundaries, explore new ideas, and take initiative to solve complex problems. The Finite State platform brings visibility and control to the supply chains that create connected devices and embedded systems—all in a simple to use platform and at the scale manufacturers need to keep device production on time and on budget. After unpacking and analyzing every file, configuration, and setting in a firmware build, the platform generates a complete bill of materials for software components, identifies known and 0-day vulnerabilities, shows a contextual risk score, and provides actionable insights that product teams can use to secure their software We are proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Finite State is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

About us: Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money. Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases. At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment: 👥 Customer First - You start with the member and work backwards. 🚀 Make It Happen - You act with urgency, use data, and hold high standards. 🤝 One Team - You collaborate with respect and commit as a group. Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food. About the role: We are seeking a Staff Data Scientist to own the analytical strategy across Foodsmart's Member growth engine. This role spans two tightly coupled domains: marketing analytics and product analytics. On the marketing side, you will own the end-to-end acquisition funnel — from marketable lives through initial visit completion — across both our outbound (call center) and inbound (scheduling referral) channels. On the product side, you will own the member-facing funnel: onboarding flow, sign-up conversion, and the in-app experience through a member's completed first appointment. These two domains are intentionally paired because growth and product are deeply interdependent — the effectiveness of our acquisition investment is shaped by what happens the moment a member enters our product experience, and optimizing the full funnel requires owning both sides of that handoff. This is a high-impact, dom ain-owning role reporting to the VP of Analytics & Data Science. You will own the executive narrative on marketing and product funnel performance, lead our experimentation and causal inference program across both domains, and build the attribution, lifecycle, and product analytics models that shape how Foodsmart invests in acquisition and member engagement. You will also be a core contributor to building out Foodsmart's event tracking infrastructure and product analytics foundation — including our Statsig implementation — establishing the measurement architecture that makes rigorous product experimentation possible. This is a full-stack data science role. We are not looking for a pure statistician or a pure analytics engineer — we need someone who operates across the entire analytical stack: from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work. At Foodsmart, durable insight requires owning the data foundation it sits on, and impactful models require the communication infrastructure to drive decisions. We expect this person to be strong across all of it. We are a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, Omni with deep context engineering to power stakeholder self-service through its AI Agent, and we are actively expanding our use of Claude and Claude Code across our workflows. We want someone who treats these tools as force multipliers for their own output and who actively engineers context into our data models so that stakeholders can self-serve — not someone who sees analytics as a hand-cranked request queue. • Own the analytical strategy for the end-to-end marketing funnel, from marketable lives to lead generation to omni-channel engagement strategy to visit completion and re-engagement. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance, reactivation, and initial visit completion optimization)., • Own the product analytics domain: onboarding funnel, sign-up conversion, in-app engagement, and the member experience through completed first appointment. Partner with the top-of-funnel product team as their embedded analytical lead, attending product cadences and co-owning the product analytics roadmap., • Serve as the executive-facing owner of the marketing and product performance narrative: explaining why marketable lives, funnel conversion, and initial visit completion moved, what levers drove the result, and what to double down on., • Design and lead Foodsmart's experimentation program across both marketing and product, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation., • Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart's channel portfolio grows., • Partner with Growth Marketing leadership as the embedded analytical lead: attending marketing cadences, co-owning the analytics roadmap, and driving insight into action., • Own and evolve the dbt data models for the marketing and product domains — from raw source modeling through mart-layer metrics — ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility., • Engineer context into our semantic layer and BI environment (Omni) so that stakeholders and AI agents can reliably self-serve answers across the marketing and product funnel. You treat context engineering — writing descriptions, defining metrics, curating what's exposed — as a first-class part of your job., • Drive the narrative, not just the numbers — translate findings into clear, actionable recommendations for executive and marketing leadership audiences., • Raise the bar for the analytics team on the craft areas central to this role — experimentation design, dbt modeling patterns, and context engineering. You don't manage anyone, but you operate as a technical leader: establishing best practices, reviewing work, and making the team around you better., • An operator who thrives in flat, fast-moving teams. You need minimal guidance to drive outcomes and default to taking ownership rather than waiting for direction., • A domain-owning IC who is comfortable being the single point of accountability for a critical business area and the executive-facing voice on its performance., • A rigorous experimentalist who treats causal inference as a core craft, not a buzzword — with a point of view on what makes a test trustworthy and how to teach causal thinking to business partners., • A strategic partner who can translate a high-level business problem into a concrete analytical roadmap and influence senior leaders across marketing, product, clinical, and finance., • A full-stack analytics practitioner — strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization) — who doesn't silo into pure stats/Python work and understands that durable insight requires owning the data foundation, not just the models on top of it., • Deeply fluent with AI-native tooling — you see tools like Claude, Claude Code, and in-BI AI agents as a core part of how you get leverage, and you have a point of view on how to engineer the context and semantic layer that makes AI-driven self-service trustworthy., • Bachelor's degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master's degree is a plus., • 8+ years of experience in data science, analytics, or experimentation, with a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes., • Deep, hands-on expertise in experimentation and causal inference. You have designed and interpreted rigorous tests (A/B, quasi-experimental, geo-lift) and can defend methodology choices under scrutiny., • Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and a clear point of view on the tradeoffs between approaches., • Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform., • Hands-on experience with product analytics instrumentation — event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent) — and a point of view on what good product measurement infrastructure looks like., • Experience with call center or contact center analytics is a plus. We leverage Zoom Contact Center (ZCC) for our outbound and inbound scheduling teams., • Expert-level proficiency in SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.)., • Deep, production-level experience with dbt — including source and mart-layer modeling, testing, documentation, and semantic layer design. You have owned a dbt project end-to-end, not just contributed to one., • Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent)., • Proven fluency with AI-native developer and analyst tooling — Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent — used in production analytical workflows., • Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required., • Excellent communication skills. You can distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive and marketing-leadership audiences. $170,000 - $200,000 a year Role: Staff Data Scientist, Growth Analytics Location: Remote, USA Base Salary Range: $170,000 - $200,000 base + bonus Our salary ranges are determined by role, level, and location. Individual pay is determined by work location, job-related skills, experience, and relevant education or training. About our benefits and perks: ✅ Remote-First Company ✅ Unlimited PTO ✅ Flexible & remote location ✅ Healthcare Coverage (Medical, Dental, Vision) ✅ 401k & bonus ✅ Registered Dietitian Sessions Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Distinguished Engineer, AI Compute (Remote Eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Capital One machine learning platform organization manages our cloud-based enterprise AI+ML system delivering the high-scale developer and runtime environments required to build, orchestrate, and deploy compute and data intensive AI systems across real-time and batch workloads. We are seeking a Senior Distinguished Engineer, a hands-on technical leader passionate about distributed systems, to engineer and scale foundational compute capabilities for our platform. You will use your experience in building large scale, highly available and high performance systems to develop our common compute infrastructure on top of CPU and GPU substrates. Your contributions will power everything from developer notebooks to ML / DL model training, model inference and feature generation pipelines to pre-training and fine tuning Transformer-based models as well as generative AI inference and agentic applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark / Dask / Ray / Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount to our team's success. In this role, you will : Architect and build control and data plane implementations required to realize a highly available, multi-tenant, large scale and a secure machine learning platform Develop Ray and Spark distributed compute engine solutions to accelerate diverse workloads from LLM pre-training and reinforcement learning to large-scale data processing, while maximizing compute unit economics Engineer systemic improvements for operational excellence including automating KTLO (Keep The Lights On) workflows Direct the technical execution of a diverse project portfolio, collaborating with developers specializing in everything ranging from distributed microservices to running large foundation models Work cross-functionally with product and program management disciplines, and stakeholder and partners across Capital One to help optimize business outcomes while driving towards strong technology solutions Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and leading system design and code review sessions Help elevate the Capital One Distinguished Engineering community and establish yourself as a go-to resource on given technologies and technology-enabled capabilities Lead the way in creating next-generation talent, mentoring internal talent and actively recruiting external talent to bolster the Capital One tech talent pool Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications : Master’s Degree in Computer Science or a Master’s Degree in Software Engineering Hands on experience in the internals of Ray (Actors/GCS/Scheduling) or Spark (Query Optimizer/Memory Management) Experience building platforms that support LLM training, fine-tuning, or high-throughput inference Hands-on experience with AWS-specific compute primitives (EKS, EC2 UltraClusters, Graviton) and cost-optimization strategies History of upstream contributions to major distributed systems projects Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

About this role In Gartner's Services Data Science team, we innovate the way our team helps clients receive value, so technology leaders will be able to make smarter decisions in a different way. We are searching for a talented data scientist to join our team. You will have access to the best facilities, technology and expertise within the industry and will work on challenging business problems. This is an excellent opportunity to be part of a new venture, in a start-up environment where you can truly develop your skill set and knowledge and bring impact to the team. What you'll do • Designing and implementing state of the art Large Language Model (LLM) based agents that seamlessly synthesize complex information and initiate important actions in a business workflow., • Using advanced Generative AI techniques deriving actionable insights from unstructured text data, such as call transcripts and emails., • Predicting client interest basis their digital footprint and making relevant recommendations to drive higher client value delivery, • Leverage statistical and machine learning techniques to extract actionable insights from client retention data., • Develop customer churn prediction models that proactively identify at-risk clients,, • Build tools to process structured and unstructured data, • Engineering features and signals to train ML model from diverse data collection What you'll need • BS required/ MS/ preferred; in Computer Science or other technology, Math, Physics, Statistics or Economics (focus on Natural Language Processing, Information Retrieval a plus), • 4 years' experience in data science methodologies as applied to live initiatives or software development// Experience working with Gen AI projects, • Minimum 4+ years of experience in python coding and statistical analysis, • Minimum 2 years working experience in several of the following: o Prompt Engineering and working with LLMs o Machine Learning and statistical techniques o Data mining and recommendation systems o Natural Language Processing and Information Retrieval o Experience working with large volumes of data o User behavior modeling Who you are • A team player. You get along well with your colleagues and are always ready to help get things done. You enjoy working on projects with multiple people and share knowledge., • Passionate about learning. You thrive on complex technical challenges and are always eager to learn the latest technologies., • Organized and detailed-oriented. You think ahead of time about how best to implement new features, and your code is clean, well-organized and properly documented., • Innovative. You are always proactively looking for opportunities to problem solve using innovative methods that impact the business What we offer • A collaborative, positive culture. You'll work with people who are as enthusiastic, smart and driven as you are. You'll be managed by the best too., • Limitless growth and learning opportunities. We offer the excitement of a fast-paced entrepreneurial workplace and the professional growth opportunities of an established global organization. About Gartner: Gartner, Inc. (NYSE: IT) is the world's leading information technology research and advisory company. We deliver the technology-related insight necessary for our clients to make the right decisions, every day. We work with every client to research, analyze and interpret the business of IT within the context of their individual role. Founded in 1979, Gartner is headquartered in Stamford, Connecticut, U.S.A - Visit gartner.com to learn more. Diversity, inclusion and engagement at Gartner: The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, caste, creed, religion, sex, sexual orientation, gender identity or expression, marital status, citizenship status, age, national origin, ancestry, disability, or any other characteristic protected by applicable law. Gartner affirmatively seeks to advance the principles of equal employment opportunity and values diversity and inclusion. Gartner is an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified applicant with a disability and unable to or limited in your ability to use or access the Gartner's career webpage as a result of your disability, you may request reasonable accommodations by calling Human Resources at +1203-964-0096 or by sending an email to _ #LI-Remote #LI-GV1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. Gartner is the world authority on AI At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 98,000 USD - 133,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to_. Job Requisition ID:106172 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: _ For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Job Locations US-MA-Boston | US-IL-Chicago | US-NY-New York Primary Posting Location : City Boston Primary Posting Location : State/Province MA Primary Posting Location : Postal Code 02101 Primary Posting Location : Country US Requisition ID 2026-439071 Position Type Full Time Category Marketing (Corporate): Integrated Marketing, Experiential Marketing Minimum USD $111,700.00/Yr. Maximum USD $174,200.00/Yr. DIRECTOR, MEDIA ANALYTICS AMP Agency is looking for a curious, thoughtful, technology-driven storyteller to join its Integrated Analytics team. Our team is inspired by the idea of continuous improvement, and is working to build a best-in-class culture and capability set; to drive excellence in both our client work and our own ways of working. As a Director of Media Analytics, you'll lead cross-channel measurement strategies and provide actionable media insights across a portfolio of client accounts. You'll manage a team of analysts and work closely with Media, Strategy, Creative, and Technology teams to bring clarity to performance reporting, build strong client relationships, and ensure the delivery of high-quality, insight-driven outputs. This role requires a solid foundation in media measurement, a passion for interpreting data, and a desire to grow team capabilities and client value. Responsibilities: Lead media analytics workstreams across a set of key client accounts. • Translate performance data into clear stories and actionable recommendations for clients and internal teams., • Manage and mentor a team of analysts; review deliverables for clarity, accuracy, and strategic value., • Contribute to the development and implementation of testing and learning agendas across conversion and upper-funnel efforts., • Collaborate with cross-functional teams to build holistic reporting frameworks and integrated performance narratives., • Partner with client stakeholders to define measurement goals, KPIs, and media success criteria., • Work with technical and platform leads to ensure data availability, accuracy, and utility for analysis., • Help advance the analytics practice by standardizing best practices, templates, and approaches., • Stay current on industry trends, tools, and methodologies to support innovation in media measurement. Qualifications: • 7+ years of experience in media analytics, preferably in an agency or consulting environment., • Strong working knowledge of digital channels including paid social, display, programmatic, search, and emerging platforms. Familiarity with offline channels is a plus., • Hands-on experience with web analytics platforms such as Google Analytics or Adobe Analytics., • Experience with media mix modeling, incrementality testing, brand lift studies, and multi-touch attribution., • Experience with data visualization tools (e.g., Power BI, Tableau)., • Strong ability to synthesize performance trends and identify what's driving results., • Comfortable leading client conversations and presenting complex data in a digestible way., • Skilled in managing teams, fostering talent, and building a collaborative culture., • Strong organizational skills and attention to detail; able to manage multiple projects and deadlines., • Curiosity, initiative, and a continuous learning mindset. Job Will Remain Open Until Filled The Company is one of North America's leading sales and marketing agencies specializing in outsourced sales, merchandising, category management and marketing services to manufacturers, suppliers and producers of food products and consumer packaged goods. The Company services a variety of trade channels including grocery, mass merchandise, specialty, convenience, drug, dollar, club, hardware, consumer electronics and home centers. We bridge the gap between manufacturers and retailers, providing consumers access to the best products available in the marketplace today. Essential Job Duties and Responsibilities • Design and lead advanced media, marketing and business analytics strategies across client portfolios, including development of custom measurement frameworks, KPI architecture, and statistically grounded test-and-learn agendas such as geo-level incrementality testing, match market analysis, and media mix modeling., • Lead and grow a team of analysts by fostering technical rigor, elevating storytelling skills, and providing structured mentorship to build future leaders in analytics and consulting. Oversee and make recommendations to the analytics product being developed by direct reports to ensure quality of delivery to our clients., • Synthesize large, multi-source datasets into meaningful, business-driving insights by applying statistical techniques and performance modeling and turning results into executive-ready narratives. Work with internal and external technology partners to build dashboard solutions and enable AI automation within our campaign analytics practice., • Partner cross-functionally with media, strategy, creative, and technology leads to embed analytics into campaign planning, optimization, and brand-building initiatives, ensuring seamless integration with broader business objectives. Act as a senior client-facing analytics lead, owning measurement conversations, communicating findings to senior stakeholders, and serving as a strategic partner in solving business challenges through data. • Advance the agency's analytics practice and help develop the annual analytics business plan, by driving operational innovation, codifying scalable analytics products and frameworks, and championing data governance, efficiency, and quality., • Continuously evaluate and adopt new analytics tools, statistical methodologies, and data sources to future-proof the agency's capabilities and bring forward-looking thinking to clients. Manage appliable analytics budget related to technology and data partners. Supervisory Responsibilities Direct Reports • Hires, retains, trains, coaches, guides, directs, and develops direct reports using company-wide processes, tools and resources Indirect Reports • May delegate work of others and provide guidance, direction and mentoring to indirect reports Travel and/or Driving Requirements • This role is remote, with travel required for client meetings, team leadership events, and industry conferences. Minimum Qualifications The following are the minimum job-related qualifications which an individual needs in order to successfully perform the essential duties and responsibilities of the job Education Level: Bachelor's degree in Statistics, Math, Economics, Data Science, Marketing, eCommerce or related field. Master's Degree a plus. Field of Study/Area of Experience: • 10+ years of progressive experience in marketing and media analytics, and data science, with a proven track record of leading omnichannel measurement strategies, advanced statistical analysis, and client consulting., • Experience must include direct responsibility for applying techniques such as media mix modeling, geo-based incrementality testing, and test design within an agency, consultancy, or in-house performance marketing environment., • Strong background in team leadership, executive storytelling, and hands-on expertise with digital platforms, web analytics, and data transformation tools is essential., • The candidate should also have experience with AI tools and Large Language Models (LLMs) with the ability to apply AI techniques to overall analytics and dashboard products. Skills, Knowledge and Abilities • Expert-level knowledge of media performance measurement across digital and offline channels, with fluency in cross-channel KPI development, media taxonomy, and full-funnel performance frameworks., • Advanced experience in applied marketing analytics, including media mix modeling (MMM), geo-level incrementality testing, match market analysis, and experimental test design; ability to interpret outputs and translate them into business implications., • Proven ability to craft executive-ready performance narratives by synthesizing large, disparate datasets and delivering strategic, data-backed recommendations to senior stakeholders and clients., • Ability to distill complex data into compelling, business-relevant narratives tailored to both technical and non-technical audiences., • Ability to leverage data science techniques and statistical models (Bayesian, Boolean, etc.) to inform predictive analytics and custom data modelling on behalf of clients., • Ability to work with LLMs and build agentic and generative AI solutions within our analytics and dashboard product. Environmental & Physical Requirements Office / Sedentary Requirements Incumbent must be able to perform the essential functions of the job. Work is performed primarily in an office environment. Typically requires the ability to sit for extended periods of time (66%+ each day), ability to hear the telephone, ability to enter data on a computer and may also require the ability to lift up to 10 pounds. Additional Information Regarding The Company Job Duties and Job Descriptions Job duties include additional responsibilities as assigned by one's supervisor or other manager related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law. The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of associates so classified. The Company is committed to providing equal opportunity in all employment practices without regard to age, race, color, national origin, sex, sexual orientation, religion, physical or mental disability, or any other category protected by law. As part of this commitment, the Company shall provide reasonable accommodations of known disabilities to enable an applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by law. Not ready to apply? Connect with us for general consideration.

Job DescriptionUnited Risk is a global property and casualty insurance underwriting and distribution platform with deep worldwide technical resources, large underwriting capacity, and an entrepreneurial spirit. A performance outlier for over three decades, United Risk is a magnet for top-tier talent and has become the global choice of top quartile insurance entrepreneurs. Join our growing team and be part of a group that conducts critical pricing analysis as well as applying our collective knowledge to develop new approaches to help move our company forward. As a Senior Actuarial Analyst, you will contribute to core actuarial work while also supporting projects that span multiple areas of the business. This role is well-suited for a driven recent graduate or early-career professional looking to build a strong foundation in the field. This position offers opportunity for professional growth and expanding responsibilities as your experience grows.Requirements: • Undergraduate degree in a quantitative concentration (e.g. actuarial science, mathematics, statistics, physics, economics, etc.). Graduate degrees and PhDs encouraged to apply!, • Experience in data analysis, actuarial concepts, and computer programming skills (either from employment or an academic setting)., • Strong Excel skills; an interest in coding/automation and experience with SQL., • Successful completion of two or more actuarial exams.Our Benefits Include:, • 100% employer-paid medical, dental, and vision insurance for employees., • 401(k) plan with 100% immediate vesting and a 4% company match., • Paid time off (PTO) and paid holidays., • Life, disability, critical illness and accident insurance., • Employee Assistance Program (EAP)., • Pre-tax Flexible Spending Accounts for health, dependent care, and commuter-related expenses., • Tuition reimbursement., • Fitness reimbursement and various additional quality-of-life benefits.United Risk is independently owned and operated by its practice partners and is affiliated with Applied Underwriters through its common and powerful brand identity. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. Reporting to the Senior Director, Strategic Operations, the Associate Director of Strategic Operations will focus on driving operational rigor, scalability, and gross margin expansion across the business. This leader will be embedded within the operations organization but partner closely with Finance, Product, Revenue, Clinical, and Customer teams to improve how we deliver care - ensuring we do so efficiently, sustainably, and at scale. This role is deeply execution-oriented. In addition to identifying high-impact efficiency opportunities, this person will serve as the programmatic owner of large, cross-functional initiatives - ensuring teams remain aligned, accountable, and on track to deliver measurable outcomes. Unlike traditional business strategy roles that focus on market expansion or new growth vectors, this role is centered on optimizing the core: improving unit economics, strengthening operational performance, and building durable systems that unlock long-term profitability. This is a hybrid role based in New York City, with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue. Additionally, occasional travel may be required for company or team events. What You'll Do • Strategy: Lead strategic operational efficiency initiatives by diagnosing workflow, system, and cross-functional inefficiencies and designing scalable solutions., • AI Leverage: Identify and evaluate opportunities to leverage AI and automation to improve operational efficiency, reduce cost-to-serve, and enhance scalability., • Financial Ownership: Translate margin targets into actionable operational initiatives with clear owners, timelines, and measurable KPIs., • Program Leadership: Own complex, cross-functional programs across Operations and adjacent teams (Product, Revenue, Finance, Clinical)., • Governance: Establish governance structures, milestones, and success metrics to ensure initiatives are delivered on time and at impact., • Business Case Development: Build business cases for automation, tooling improvements, vendor optimization, and process redesign., • KPI Rigor: Connect financial targets to day-to-day operations through performance dashboards, KPI rigor, and accountability cadences. What Success Looks Like in This Role • Cross-functional programs executed with strong stakeholder alignment and minimal slippage., • Margin improvement initiatives delivered on time and at target impact., • Clear operational dashboards that give leadership visibility into KPI performance., • Reduced friction across teams due to improved dependency management and governance., • A culture of accountability and execution rigor within the Operations organization. What You'll Bring • 4-6 years of experience in consulting, investment banking, corporate strategy, or strategic operations; top-tier consulting experience strongly preferred., • 1+ years of operating experience at a high-growth or scale-stage company., • Demonstrated experience leading complex, cross-functional programs with multiple stakeholders., • Proven track record driving operational or cost-efficiency initiatives tied to financial outcomes., • Understanding of how AI tools can be applied to manual processes, with the ability to evaluate ROI, risks, and change management considerations., • Strong financial fluency - comfort working with margin models, cost structures, and performance metrics., • BA or BS in any field required; MBA strongly preferred. The target base salary range for this position is $160,000 - $184,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year., • $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionCompany Description We’re a leading Investor Services group offering end-to-end services in administration, accounting, reporting, regulatory and compliance needs of the investment sector worldwide. We employ a global workforce of 6,500+ people across 24 jurisdictions and have assets under administration (AUA) exceeding US$857 billion. We work with 13 of the world’s top-15 private equity firms. Our services are underpinned by a Group-wide commitment to ESG and best-in-class technology including a global data platform and innovative proprietary tools supported by in-house experts. Above all, what makes us different is our people. Operating as trusted partners to our clients, we deliver intelligent solutions through a combination of technical expertise and strong relationships based on deep client understanding. We’re driven by our Group purpose, to power people and possibilities Job Description This position will be at the forefront of driving growth and nurturing relationships with existing prospects. You’ll lead strategic initiatives, forge meaningful connections, and position IQEQ as a trusted partner in our clients' success stories. This role offers the perfect blend of leadership, strategy, and hands-on execution, ideal for a visionary who thrives in a fast-paced environment. What you’ll do • You'll cultivate relationships at the executive and operational levels with prospects, becoming an expert on their organizational structure and strategic goals; and develop a clear understanding of the political and business landscape of prospects to ensure optimal engagement, • You'll act as the primary point of contact for prospect relationships, continuously broadening engagement across C-suite and other key decision-makers, while ensuring alignment with the prospect’s strategic goals, offering tailored solutions and positioning IQEQ as integral to their business model, • You'll stay ahead of industry trends and competitors to adapt strategies that ensure long-term client retention and growth, and provide feedback to internal teams on product functionality and market trends to drive continuous innovation, • You'll lead the creation of a prospect-specific value proposition that differentiates IQEQ in a competitive marketplace, and collaborate with senior leadership and cross-functional teams to deliver bespoke solutions that meet client needs, and leverage IQEQ's global network to create a holistic and comprehensive strategy for client engagement, • You'll lead cross-functional teams in the preparation of proposals and presentations that showcase IQEQ's capabilities and expertise, • You'll coordinate with internal stakeholders to ensure seamless communication and alignment on prospect strategies, and maintain up-to-date records of all prospect activities and engagements through our CRM system What we offer • IQ-EQ offers a comprehensive benefits package designed to support employees' well-being and work-life balance, • Employees receive generous paid time off, including 4 weeks of PTO that increases over time, sick time and paid holidays, and financial wellness is supported through a 401(k) plan with a company match (subject to eligibility), • Health benefits include medical, dental, vision, mental health support and additional ancillary insurance plans, • Additional benefits include paid parental leave and a hybrid work schedule, promoting both personal and professional fulfillment, • The salary for this position will be dependent on experience and location ($150,000 - $180,000)Qualifications, • You have a Bachelor’s degree in business, finance, economics, applied mathematics, or a related field, • A proven track record (10+ years) of success in business development, client relationship management, or similar roles in financial services, private equity, or asset management, • Demonstrated ability to drive strategic initiatives and close high-value deals, with a deep understanding of competitive landscapes, • Exceptional leadership skills with the ability to influence and collaborate across all organizational levels, • Strong financial acumen, including experience with P&L management, budgeting, and financial modeling, • Excellent communication and presentation skills, with the ability to create compelling narratives and pitch complex solutions to clients, • Comfort working in fast-paced, data-driven environments, with a strong focus on results and innovation Additional Information Sustainability is integral to our strategy and operations. Our sustainability depends on us building and maintaining long-term relationships with all our stakeholders – including our employees, clients, and local communities – while also reducing our impact on our natural environment. There is always more we can, and should do, to improve – whether in relation to our people, our clients, our planet, or our governance. Our ongoing success as a business depends on our sustainability and agility in a changing and challenging global landscape. We’re committed to fostering an inclusive, equitable and diverse culture for our people, led by our Diversity, Equity, and Inclusion steering committee. Our learning and development programmes and systems (including PowerU and MyCampus) enable us to invest in growing our employees’ careers, while our hybrid working approach supports our employees in achieving balance and flexibility while remaining connected to their colleagues. We want to empower our 6,500+ employees - from 94 nationalities, across 24 countries - to each achieve their potential. Through IQ-EQ Launchpad we support women managers launching their first fund, in an environment where only 15% of all private equity and venture capital firms are gender balanced. We’re committed to growing relationships with our clients and supporting them in achieving their objectives. We understand that our clients’ sustainability and success lead to our sustainability and success. We’re emotionally invested in our clients right from the beginning. #LI-HYBRID

Job Description We are sharing a specialised part-time consulting opportunity for professionals experienced in advanced mathematics, proof-based reasoning, competition mathematics, quantitative problem solving, and structured mathematical evaluation. This role supports current and upcoming remote consulting opportunities focused on structured mathematical reasoning review, advanced problem solving, proof evaluation, benchmark development, quantitative analysis, and high-quality project execution. Selected professionals will apply their mathematical expertise to solve challenging problems, evaluate reasoning quality, prepare structured written outputs, and support accurate, rigorous mathematical review workflows. Key Responsibilities Professionals in this role may contribute to: Advanced Problem Solving & Mathematical Reasoning • Solve advanced mathematical problems across competition math, proof-based mathematics, quantitative reasoning, and research-style problem sets, • Work through problems involving areas such as number theory, combinatorics, algebra, real analysis, complex analysis, probability, and linear algebra, • Produce precise, well-structured mathematical solutions with clear reasoning and rigorous justification, • Identify gaps, errors, unsupported steps, and expected mathematical outcomes in complex reasoning tasks Proof Review & Reasoning Evaluation • Review mathematical proofs, solution paths, derivations, and advanced reasoning outputs against structured criteria, • Evaluate correctness, rigor, clarity, completeness, and logical consistency in mathematical work, • Provide clear written feedback explaining reasoning issues, missing steps, alternative approaches, and solution quality, • Support structured review of challenging mathematical benchmarks and evaluation materials Original Problem Design & Quantitative Assessment • Develop original advanced mathematical problems, solution keys, and evaluation rubrics, • Support benchmark-style work involving mathematical reasoning, proof construction, and quantitative evaluation, • Apply statistical or quantitative methods to assess performance patterns across mathematical tasks, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • Strong background in advanced mathematics, mathematical competitions, proof-based coursework, academic research, quantitative finance, theoretical computer science, statistics, or related quantitative work, • Demonstrated participation or achievement in elite mathematical competitions such as IMO, Putnam, USAMO, national olympiads, or comparable advanced competitions, • Deep proficiency across multiple mathematical areas such as combinatorics, number theory, algebra, real analysis, complex analysis, linear algebra, probability, or statistics, • Ability to produce precise, rigorous, and well-structured mathematical writing, • Strong attention to detail and ability to evaluate complex reasoning step by step, • Clear written communication skills and ability to explain mathematical conclusions carefully Educational Background • A bachelor's degree or higher in mathematics, applied mathematics, statistics, computer science, physics, engineering, economics, or a related quantitative field is helpful, • Advanced degree, olympiad-level training, academic research experience, or comparable high-level mathematical background is highly relevant, • Equivalent practical experience in mathematical research, quantitative analysis, theoretical computer science, or rigorous problem-solving environments is also valuable Nice to Have • IMO, Putnam, USAMO, national olympiad, or equivalent high-level competition experience, • Graduate-level training in mathematics, statistics, theoretical computer science, physics, or quantitative finance, • Experience writing original mathematical problems, proof solutions, evaluation rubrics, or benchmark-style materials, • Familiarity with mathematical modeling, quantitative research, probability, statistics, or computational mathematics, • Strong comfort working through long, challenging, reasoning-heavy tasks with sustained focus Why This Opportunity • Apply advanced mathematical expertise to structured remote project work, • Contribute to high-quality mathematical reasoning, proof review, problem design, and quantitative evaluation workflows, • Work on challenging assignments aligned with your mathematical strengths, • Use your mathematical judgment in a focused, rigorous review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Part-time commitment depending on project availability, • Competitive rates between $45–$70 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job Description AssistRx is a specialty pharmacy hub services company that manages therapy initiation and patient access programs for pharmaceutical manufacturers. The company’s flagship platform, iAssist, integrates at the point of prescribing and connects patients, providers, payors, and manufacturers across complex specialty therapy programs. Welsh, Carson, Anderson & Stowe acquired AssistRx in February 2024, and the company has grown significantly, supporting a broad portfolio of programs across therapeutic areas including oncology, immunology, rare disease, and obesity. Requirements POSITION SUMMARY The Data Scientist, ITA will be a primary analytical contributor within a small, high-performance team. Working directly alongside the Director / VP and two peer Data Scientists, this individual will own the design and execution of analytical models, generate program insights across key KPI families, and help build the client-facing outputs — pilot QBR materials, trend narratives, analytical summaries, prototype of insight-focused dashboarding — that define the ITA value proposition. The role requires a combination of technical depth in SQL and Python, working familiarity with statistical methods applicable to program performance analysis, and an orientation toward clear, audience-appropriate communication. Experience in pharma, pharma consulting, at a health insurer, or at a PBM is required: this work depends on understanding how specialty programs function, how manufacturers define success, and how data from hub operations connects to the broader access and reimbursement landscape. KEY RESPONSIBILITIES Analytical Execution · Design and execute ad hoc and recurring analyses for ITA client engagements, covering six defined families of KPIs · Build and maintain analytical models within the six KPI families — from patient outcomes through data quality — ensuring consistent definitions, reproducible methodology, and appropriate statistical rigor · Develop cohort analyses, funnel decompositions, survival curves, regression models, and distribution-based performance metrics that surface actionable insights within program data · Identify trends, anomalies, and comparative performance differentials across programs, payors, geographies, and time periods; frame findings as hypotheses with supporting evidence Client-Facing Output Development · Contribute to quarterly business review (QBR) preparation, including data pulls, visualization development, and narrative drafting under the direction of the Director / VP · Produce clean, client-ready analytical exhibits — charts, tables, and written summaries — formatted for manufacturer audiences including market access leadership and patient services teams · Participate in select client meetings as a technical resource; communicate methodology and findings clearly to non-technical stakeholders Productization & Documentation · Define analytical specifications and prototype outputs for validated insights; partner with the dedicated BI and report development team to translate ITA analytical work into productized ThoughtSpot and Power BI dashboards — ITA owns the logic, acceptance criteria, and narrative framing; the report development team handles production build · Maintain clear documentation of analytical methodologies, data transformations, and code to support reproducibility and team knowledge management · Surface upstream data quality issues that affect insight reliability; partner with data governance teams on remediation Continuous Improvement · Contribute to the evolution of the ITA analytical framework as new client engagements reveal novel questions and additional KPI families emerge · Stay current on emerging methods in healthcare analytics, specialty pharmacy data, and applied machine learning relevant to program performance and patient journey analysis REQUIRED QUALIFICATIONS · Approximately 5 years of experience in healthcare analytics, with direct experience in one or more of the following: pharmaceutical manufacturer (commercial, market access, or patient services analytics), pharma consulting, health insurer, or pharmacy benefit manager (PBM) · Strong proficiency in SQL; experience querying and manipulating data in cloud data warehouse environments (Snowflake preferred) · Python or R required; Python preferred (pandas, numpy, scipy, and scikit-learn) · Working knowledge of statistical methods applicable to program performance analysis: cohort analysis, survival analysis, funnel decomposition, regression modeling, distribution-based metrics, and experimental design and A/B testing frameworks · Experience producing structured, audience-ready analytical outputs — not just raw analyses; strong attention to how findings are communicated, not just computed · Clear, organized written and verbal communication skills; ability to explain quantitative findings in plain language · Bachelor's degree in a quantitative field (statistics, mathematics, data science, computer science, economics, or related); advanced degree a plus Benefits • Supportive, progressive, fast-paced environment, • Competitive pay structure, • Matching 401(k) with immediate vesting, • Medical, dental, vision, life, & short-term disability insurance, • Opportunity to impact patient outcomes through data-driven healthcare technology., • Collaborative and mission-driven culture that values innovation and continuous learning., • Access to cutting-edge cloud technologies and modern data engineering tools., • Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ACKNOWLEDGEMENT I have read the foregoing job description and understand the responsibilities of the job. I agree that I am able to perform the essential duties of this position.

Job Description Be Part Of A High-Performing Team: Join a sophisticated financial services technology environment supporting cybersecurity, data operations, and enterprise risk management initiatives. This team is focused on strengthening how insider risk is detected, measured, and governed across a large, regulated organization. The role sits at the intersection of cybersecurity, data science, analytics, and risk decisioning, contributing to a high-visibility program designed to centralize insider risk data and transform complex behavioral and enterprise signals into actionable insights. What's In Store For You: Engagement: W2 only (no C2C/1099) This is a hybrid opportunity based in Jersey City, NJ, supporting a cybersecurity data lakehouse initiative tied to insider risk and advanced analytics. The role offers the opportunity to work across Cybersecurity, HR, Legal, Compliance, Anti-Fraud, and enterprise protection teams while helping shape risk scoring, model governance, and executive-level reporting for a highly regulated environment. How You Will Make An Impact • Design, build, and refine quantitative models that help identify, assess, and prioritize insider risk across employees, contractors, vendors, and non-human identities., • Partner with data engineers, analysts, cybersecurity stakeholders, and business teams to centralize insider risk data within a cybersecurity data lakehouse., • Develop statistical, machine learning, and analytical frameworks for anomaly detection, classification, clustering, scoring, and behavioral risk modeling., • Translate large, complex enterprise datasets into clear risk signals, defensible models, and actionable business recommendations., • Support the creation of human-centric risk scoring methodologies that improve detection, investigations, governance, and regulatory readiness., • Communicate model outputs, assumptions, and analytical findings to technical and non-technical stakeholders, including senior leadership. Do you bring proven success in data science, risk modeling, and cybersecurity analytics? • 5+ years of experience in data science, quantitative analysis, statistical modeling, or risk analytics., • Bachelor’s or Master’s degree in Data Science, Statistics, Applied Mathematics, Economics, Quantitative Finance, Computer Science, or a related discipline., • Strong experience developing statistical or machine learning models, including regression, classification, anomaly detection, and clustering., • Proficiency with Python and/or R, plus strong SQL skills for large-scale data analysis., • Experience working with complex enterprise datasets and translating analytics into operational or business decisions., • Background supporting Insider Risk, Fraud, AML, Cybersecurity, UEBA, Threat Analytics, or related risk programs., • Familiarity with identity/access data, endpoint telemetry, DLP, email, collaboration monitoring, or similar enterprise security datasets., • Understanding of model explainability, governance, validation, and documentation expectations in regulated environments., • Knowledge of employee lifecycle risk, behavioral analytics, or human-centric risk modeling is strongly preferred., • Strong communication skills with the ability to simplify complex analytical concepts for non-technical stakeholders.

Job DescriptionStrength in Trust OneTrust's mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn't slow teams down—it should accelerate what's possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge The Senior Analyst, Strategic Finance is part of the CFO organization and reports to the Senior Manager, Strategic Finance. The Strategic Finance team serves as a trusted advisor to senior leadership and partners closely with teams across OneTrust to improve the profitability, scalability, and defensibility of our business model. This role will play a critical role supporting both R&D and Marketing from a finance perspective—partnering with functional leaders to inform investment decisions, optimize resource allocation, and translate strategy into measurable outcomes. You'll work at the intersection of product innovation, go-to-market execution, and financial performance. Your Mission We're looking for a highly analytical, results-oriented individual who thrives in ambiguity and is excited to build and scale alongside a growing company. As a key member of the Strategic Finance team, you will have meaningful exposure to senior leadership, own complex analyses, and influence decisions that shape the company's future. In this role, you will: Support company-wide planning, forecasting, and reporting processes on an annual, quarterly, and monthly basis Partner closely with R&D and Marketing leaders to develop financial plans, evaluate trade-offs, and support capital allocation decisions across product development and go-to-market initiatives Develop a deep understanding of the unit economics of the business, including the relationships between product roadmap, cloud infrastructure, customer usage, and marketing investment Build and maintain financial models and analytical frameworks to evaluate KPIs, assess performance, and measure ROI across initiatives Conduct rigorous analyses to identify opportunities, risks, and trade-offs, distilling complex data into clear insights and actionable recommendations Communicate findings effectively to stakeholders at all levels, from executive leadership to functional partners and individual contributors Help scale the finance function by improving financial infrastructure, automating workflows, and enhancing FP&A processes as the company grows You Are 3–5 years of finance experience in a high-growth technology environment; experience in investment banking, consulting, or PE/VC is a plus Strong financial modeling, analytical, and problem-solving skills with exceptional attention to detail Ability to translate complex financial analysis into clear, compelling narratives that inform decision-making and strategy Proven ability to create structure and clarity in ambiguous environments, influence cross-functional partners, and drive outcomes without direct authority Excellent project management skills with the ability to manage multiple priorities and stakeholders simultaneously Comfortable working cross-functionally with technical and non-technical teams, including Product, Engineering, and Marketing For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits. Salary Range$88,875—$133,312.50 USDWhere we Work We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person. Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview. Benefits As an employee at OneTrust, you will be part of the OneTeam. That means you'll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers. Resources Check out the following to learn more about OneTrust and its people: • OneTrust Careers on YouTube, • @LifeatOneTrust on InstagramYour Data You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form. Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com. Our Commitment to You When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career. OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.

Job Description The Investment Banking Associate will support senior bankers in executing a variety of transactions. This role offers a unique opportunity to gain hands-on experience and build a strong foundation for a career in investment banking. Key Responsibilities include but are not limited to: • Build detailed financial models to evaluate transaction opportunities, including discounted cash flow, comparable company, and precedent transaction analyses., • Conduct industry research, market analysis, and due diligence to support client engagements and identify new business opportunities., • Prepare client presentations, pitch books, and other marketing materials for prospective and existing clients., • Assist in the execution of transactions by preparing valuation analyses, drafting information memorandums, and coordinating due diligence processes., • Work closely with senior bankers, clients, and other stakeholders to deliver high-quality advisory services., • Ensure all deliverables and processes comply with internal standards. Preferred Attributes and Skills • Detail-oriented with strong communication and follow-up skills, as well as a capacity to work independently., • Independent thinker, comfortable taking initiative as well as excellent writing abilities., • Commitment to excellence - perform duties at the highest level possible on a consistent basis., • Excellent interpersonal and communication skills - able to interact with people of all levels in a confident, professional manner., • High degree of integrity-- demonstrated ability and temperament to work with sensitive and confidential information., • Resourcefulness, energy, attention to detail and the ability to multi-task in a fast-paced environment., • Team player - have team-oriented experience and approach., • Desire to grow and take on increasing responsibilities. Requirements • Bachelor’s degree in finance, economics, accounting, or a related field., • 1-3 years of experience in investment banking, corporate finance, or a related role (prior internship experience will be considered)., • Strong analytical and quantitative skills, with experience in financial modeling and valuation techniques., • Strong proficiency in Microsoft Excel, PowerPoint, and other relevant tools., • Familiarity with financial statements, spreadsheets, and accounting, • Experience in creating presentation materials, drafting of memoranda and offering documents for internal and external use, is preferred, • SIE, 63, and 79 licenses preferred (or willingness to obtain prior to hire). Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Life Insurance (Basic, Voluntary & AD&D) This description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Odeon Capital Group provides a total compensation package which may include a base salary, commissions, discretionary performance bonus, and/or a comprehensive benefits package. The estimated base salary range for this position, at the time of posting, is $65,000 to $80,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package. Candidates hired to work in other locations will be subject to the pay range associated with that location. The final base salary amount that is offered to any candidate, in any location, will be determined on several factors, which may include but are not limited to location, work experience, skills, knowledge, education, and/or regulatory licenses. Odeon Capital Group is an Equal Opportunity Employer. We are committed to creating a work environment that supports, inspires, and respects all individuals and in which employment processes are merit-based and applied without discrimination. Odeon does not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or any other protected characteristic or other non-merit factor.

Job Description About impact.com impact.com is the world's leading commerce partnership marketing platform, transforming the way businesses grow by enabling them to discover, manage, and scale partnerships across the entire customer journey. From affiliates and influencers to content publishers, brand ambassadors, and customer advocates, impact.com empowers brands to drive trusted, performance-based growth through authentic relationships. Its award-winning products - Performance (affiliate), Creator (influencer), and Advocate (customer referral) - unify every type of partner into one integrated platform. As consumers increasingly rely on recommendations from people and communities they trust, impact.com helps brands show up where it matters most. Today, over 5,000 global brands - including Walmart, Uber, Shopify, Lenovo, L'Oréal, and Fanatics - rely on impact.com to power more than 350,000 partnerships that deliver measurable business results. Your Role at impact.com: We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that optimize yield, pricing, and inventory allocation at scale — sitting at the intersection of data science, platform engineering, and marketplace economics. This is a high-craft, high-ownership individual contributor role. You'll work end-to-end: architecting the data pipelines that feed your models, engineering the features that drive performance, and deploying real-time inference systems that make decisions at speed. Your work directly determines how effectively Impact's programmatic marketplace balances advertiser performance with publisher monetization — making this one of the highest-leverage technical roles in the business. You'll collaborate closely with Product, Data Science, and Programmatic Delivery Engine Engineering, but you operate with significant autonomy. You're expected to bring both the modeling rigor of a data scientist and the production instincts of an ML engineer — and to be genuinely excited about both. What You'll Do: Yield Optimization & Pricing Models • Design and deploy ML models that optimize auction pricing, bid shading, floor price setting, and yield across Impact's programmatic inventory., • Build and iterate on real-time pricing algorithms that balance short-term revenue efficiency with long-term publisher and advertiser health., • Develop and maintain feedback loops that allow pricing models to adapt to shifting market conditions, inventory mix, and demand patterns., • Quantify the revenue impact of pricing model improvements; communicate tradeoffs between yield maximization, fill rate, and partner ROI to stakeholders. Inventory Allocation & Supply Optimization • Own ML-driven inventory allocation logic: routing, pacing, and matching supply to demand across partner segments, deal types, and campaign objectives., • Build models that forecast inventory availability, demand curves, and clearing prices to support proactive allocation decisions., • Identify and address inefficiencies in inventory utilization — including unsold inventory, suboptimal deal matching, and allocation imbalances across the publisher base. Data Architecture & Feature Engineering • Design and own the data infrastructure that feeds programmatic models: event pipelines, feature stores, training datasets, and real-time feature serving., • Engineer high-signal features from auction logs, bid stream data, user signals, contextual attributes, and historical performance — at the scale of programmatic data volumes., • Build robust data pipelines with production-grade standards: reliability, observability, versioning, and efficient reprocessing. Real-Time Inference & Production ML • Deploy models to production real-time inference environments; own latency, reliability, and throughput requirements for auction-time decision-making., • Build monitoring systems that track model performance, data drift, and system health in production; define alerting thresholds and retraining triggers., • Partner with MLOps and Platform Engineering to ensure scalable, low-latency serving infrastructure meets SLOs under high-volume auction traffic., • Own the full model lifecycle: training, evaluation, deployment, A/B testing, and iteration. Experimentation & Performance Measurement • Design and execute rigorous A/B and holdout experiments to measure the causal impact of model changes on yield, fill rate, advertiser performance, and publisher revenue., • Build evaluation frameworks that go beyond offline metrics — validating model behavior in live auction environments where feedback signals are delayed or noisy., • Translate experimental results into clear business narratives; present findings and recommendations to Product and business stakeholders. Self-Learning Systems & Feedback Loops • Research and implement adaptive, self-learning components within the programmatic stack — including contextual bandits, reinforcement learning signals, and online learning approaches where appropriate., • Design feedback mechanisms that close the loop between auction outcomes, model updates, and system behavior; reduce reliance on manual tuning and rule-based overrides., • Stay current with advances in programmatic ML, auction theory, and online optimization; evaluate applicability to Impact's specific marketplace dynamics. Cross-Functional Collaboration • Serve as the primary ML technical partner for the Rubicon product and engineering teams; translate business requirements into modeling approaches and communicate technical tradeoffs clearly., • Collaborate with Data Science peers on shared infrastructure, modeling standards, and cross-domain feature reuse., • Document models, architectures, and experimental findings to a standard that enables review, replication, and knowledge transfer across teams. What You Bring: Required • Experience: 5+ years in data science, ML engineering, or quantitative research, with at least 2+ years building and deploying ML models in programmatic advertising, ad tech, marketplace optimization, or a closely related domain (e.g., real-time bidding, dynamic pricing, auction systems)., • Programmatic & marketplace depth: Demonstrated understanding of programmatic auction mechanics (RTB, header bidding, floor pricing, deal types, bid shading) and how ML can be applied to optimize outcomes across the supply-demand stack., • Production ML engineering: Proven ability to take models from prototype to production independently — including real-time inference, monitoring, retraining pipelines, and SLO ownership., • Data architecture: Experience designing and building data pipelines, feature stores, and training infrastructure for high-volume, low-latency ML systems., • Technical skills:, • Strong Python and SQL; proficiency with ML libraries (scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow) and large-scale data tools (Spark, Kafka, or equivalent streaming/batch frameworks)., • Experience with real-time feature serving and low-latency model deployment (REST APIs, gRPC, or streaming inference)., • Familiarity with production ML workflows: model versioning, drift monitoring, A/B testing, evaluation, and retraining., • Experience processing and modeling at programmatic data scale: high-cardinality auction logs, bid stream data, impression and click events., • Experimentation rigor: Strong grasp of causal inference and experiment design in online, delayed-feedback environments (auction holdouts, switchback tests, variance reduction techniques)., • Communication: Ability to explain complex modeling decisions and tradeoffs to Product and business stakeholders; comfortable presenting in cross-functional forums., • Education: Bachelor's in a quantitative field (CS, Statistics, Math, Engineering, Economics, or similar); Master's/PhD preferred. Preferred / Nice to Have • Direct experience with SSP, DSP, or exchange-side yield optimization — particularly floor price optimization, bid landscape modeling, or deal matching algorithms., • Familiarity with auction theory (first-price vs. second-price dynamics, optimal reserve pricing, revenue equivalence) and its practical implications for programmatic ML., • Experience with contextual bandits, multi-armed bandits, or reinforcement learning applied to real-time decisioning problems., • Knowledge of online learning and adaptive algorithms in production environments with non-stationary data distributions., • Familiarity with privacy-preserving ML techniques relevant to programmatic (differential privacy, federated learning, cookieless attribution modeling)., • Experience with GCP tools (BigQuery, Vertex AI, Dataflow, Pub/Sub) and/or Databricks/Spark for large-scale event processing and model training., • Exposure to supply forecasting, inventory management, or capacity planning in programmatic or marketplace contexts., • Familiarity with Impact's affiliate and partnership ecosystem, or prior experience at the intersection of performance marketing and programmatic delivery. What Sets You Apart • Marketplace intuition. You understand programmatic auctions not just as an engineer but as an economist — you think about incentive structures, equilibrium dynamics, and how model decisions ripple through the supply-demand stack., • Full-stack ML ownership. You're as comfortable designing a feature store schema as you are tuning a gradient boosting model or debugging a latency spike in production. You own the whole chain., • Feedback loop thinking. You don't just deploy models — you design the systems that make them smarter over time. You think about how today's decisions become tomorrow's training signal., • Rigor under real-world constraints. You know how to run clean experiments in environments where feedback is delayed, data is noisy, and business pressures create tradeoffs. You don't let imperfect conditions become an excuse for imprecise thinking., • Pragmatic delivery. You ship. You balance the perfect with the production-ready, iterate fast, and know when an MVP outperforms a six-month research project., • Collaborative depth. You build genuine technical trust with engineering and product partners — not just by having good ideas, but by following through, communicating clearly, and making the integration easy. Salary Range: $165,000 - $185,000 per year, plus an additional 5% variable annual bonus contingent on Company performance and eligible to receive a Restricted Stock Unit (RSU) grant. *This is the pay range the Company believes is equitable for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Benefits and Perks: At impact.com, we believe that when you're happy and fulfilled, you do your best work. That's why we've built a benefits package that supports your well-being, growth, and work-life balance. • Medical, Dental, and Vision insurance, • Office-only catered lunch every Thursday, a healthy snack bar, and great coffee to keep you fueled, • Flexible spending accounts and 401(k), • Flexible Working: Our Responsible PTO policy means you can take the time off you need to rest and recharge. We're committed to a positive work-life balance and provide a flexible environment that allows you to be happy and fulfilled in both your career and your personal life., • Health and Wellness: Your well-being is a priority. Our mental health and wellness benefit includes up to 12 fully covered therapy/coaching sessions per year, with additional dependent coverage. We also offer a monthly gym reimbursement policy to support your physical health., • A Stake in Our Growth: We offer Restricted Stock Units (RSUs) as part of our total compensation, giving you a stake in the company's growth with a 3-year vesting schedule, pending Board approval., • Investing in Your Growth: We're committed to your continuous learning. Take advantage of our free Coursera subscription and our PXA courses., • Parental Support: We offer a generous parental leave policy, 26 weeks of fully paid leave for the primary caregiver and 13 weeks fully paid leave for the secondary caregiver., • Technology Financial Support: We provide a technology stipend to help you set up your home office and a monthly allowance to cover your internet expenses. impact.com is proud to be an equal-opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors. #LINewYorkNewYork

Job Description Arena Investors, LP is a global investment management firm that seeks to generate attractive risk adjusted, consistent and uncorrelated returns by employing a fundamentals based, asset-oriented financing and investing strategy across the entire credit spectrum in areas where conventional sources of capital are scarce. Arena specializes in off-the-run, stressed, distressed, illiquid and esoteric special situation transactions through originations and acquisitions of asset-oriented investments across a wide array of asset types (including but not limited to private direct corporate credit, commercial real estate bridge lending, and commercial and consumer assets). Quaestor Advisors (“Quaestor”), is an affiliated Special Servicer, which provides mid and back-office services, including asset management, to Arena Investors and external clients. Quaestor is looking to expand the Valuations team, through the addition of a Valuations Analyst / Associate. In this role, the successful candidate will work under the SVP of Valuations. Responsibilities: • Work on complex financial instrument valuation engagements, including valuations of equity, debt, derivatives, structured financial products, contingent considerations and hybrid securities for financial reporting and transactions., • Review third-party business valuations for closely-held companies, publicly-traded companies, and private equity for financial reporting purposes (ASC 946, ASC 820, ASC 815, ASC 718 / IRC 409A, swaps, etc.), and strategic planning purposes, • Strong understanding of DCF, binomial, and option pricing modelling techniques., • Demonstrate general knowledge in business valuation analyses using DCF, publicly-traded guideline company method, and comparative M&A transactions method., • Perform market, industry, and economic research and analyses, • Review and summarize financial, corporate, and legal agreements and other documents, • Write narrative valuation reports and memorandums, • Explore and learn about the valuation issues in different industries for operating businesses, renewable energy systems and fractional interests in real estate, • Maintain active communication with supervisors throughout engagements and begin to develop client relationships Requirements • Bachelor’s degree in Finance, Applied Mathematics, or other quantitative finance major, or Economics with a strong interest in pursuing professional designation; Master’s degree is a plus., • Experience with valuing and reviewing debt and complex financial instruments/derivatives (swaps, contingent consideration, convertible debt, etc.) and related methodologies/ models/ software (Monte Carlo simulation, Binomial Models, Thomson Reuters or Bloomberg)., • 3-5 years valuation experience with a Big 4 or Top 20 public accounting and advisory firm., • Demonstrated experience in both performing valuations and reviewing common stock, debt and derivative valuations, etc., • Experience working with Capital IQ., • Highly Proficient in Microsoft Office, especially Excel and Word, • Good understanding of the accounting standards related to financial instruments and valuations is a plus., • Ability to work on multiple engagements simultaneously with competing priorities in a rapidly growing, fast-paced, interactive, results-based environment, • Excellent written, interpersonal, and presentation skills, • Python programming/coding is a plus, • Individuals on the path to obtaining the CFA qualification is a plus. This job description is not an exhaustive list of all responsibilities, and duties may change Benefits • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Short Term & Long Term Disability, • Training & Development, • Free Food & Snacks, • Wellness Resources

Job Description Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE: EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with revenues over +$100M and consistently growing year over year. As a Senior Product Manager on our measurement and data team, you will own a set of quantitatively deep initiatives that sit close to our bidding, attribution, and data infrastructure. This is a builder role for someone who is comfortable reasoning about causal inference, experimentation, and data quality at scale, and who can turn that reasoning into a product that engineers, data scientists, and commercial teams actually use. You will work directly with our ML, data, and infrastructure teams as a technical peer. This position is based in Austin, TX or New York, NY. Role's tasks and responsibilities: • Own product strategy and execution for measurement and data initiatives spanning causal measurement, attribution and identity, and the quality and observability of our data and models., • Translate causal and statistical methods into product decisions, and partner with data science on how measurement and optimization should behave in production., • Define how performance signals are monitored, explained, and surfaced across large, fast-moving datasets so the right people see what changed and why., • Work closely with engineering to prioritize development, and align commercial, marketing, and operations teams on timelines and strategy., • Set the metrics and experimentation approach for your area, and use them to decide what ships., • Stay at the forefront of AdTech, new technologies, industry trends, and privacy regulations. Role's skills and requirements: • Technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science., • 5+ years in product management or data-heavy product work, including time owning measurement, ML-adjacent, or data-platform products., • Strong applied grounding in at least one of: causal inference and incrementality measurement, experimentation and A/B testing, attribution and identity, or large-scale data quality and observability., • Fluency with data. You can write SQL, reason about a data model, and work independently in a notebook or query engine to answer your own questions., • Comfort engaging directly with model behavior, evaluation, and statistical tradeoffs alongside data scientists and ML engineers., • Demonstrated experience in hypothesis-driven learning and turning data into actionable insights., • Excellent written communication. You write specs that hold up to technical scrutiny and need little editing before they ship. Preferred: • Experience in programmatic advertising, adtech, or another real-time bidding or marketplace environment., • Familiarity with mobile attribution, MMPs, or privacy-driven measurement. What’s in it for you? • Great compensation package tailored to the U.S. market., • Career pathing and continued education available, • Highly engaged leadership to support you in your position and career, • Opportunity for international travel, • Comprehensive medical, dental & vision benefits, • 401k matching, • Summer Fridays & Team building events Powered by JazzHR YOLpoBk9wz

Job Description About Overdeck Family Foundation Overdeck Family Foundation (“the Foundation”) was founded in 2011 to provide all children the opportunity to unlock their potential. The Foundation focuses on enhancing education through funding efforts in early childhood, hands-on STEM education, and K-9 programs, supporting both educators and student-centered learning environments. Our grantmaking and strategic support focus on unlocking innovation, evidence, and growth opportunities to accelerate key academic and socioemotional outcomes for all children. At Overdeck Family Foundation, we achieve our impact by collaborating with rigor, fostering a culture of curiosity and learning, and living our core values to drive meaningful change. Visit www.overdeck.org for more information on our foundation, including our research repository. The Research Fellow Position Overdeck Family Foundation is seeking a Research Fellow to work with the Research & Impact Officer, Meghan McCormick, to support the Foundation’s evidence and research efforts. This role will contribute to activities including evidence reviews for prospective grantees, evidence summaries for funding recommendations, and targeted communication activities such as updating summaries of research funded by the Foundation. The position is ideally suited for advanced doctoral students or post-doctoral researchers in economics, public policy, sociology, applied psychology, or education, particularly those with expertise in econometrics and K-12 education. What You’ll Help Us Do: Conduct evidence reviews to assess potential grantee organizations against the Foundation’s goals and priorities. Develop evidence summaries to support funding recommendations and presentations. Collaborate on updating and maintaining a repository of research studies funded by the Foundation. Support communications activities by creating clear, concise summaries of research findings. Who You Are: You are outcomes-driven. You are motivated by the Foundation’s mission to open doors for every child in the U.S. by measurably enhancing education both inside and outside the classroom. You bring expertise in quantitative research. You have advanced training in research methodology (ex: experimental and quasi-experimental designs), knowledge of the federal ESSA evidence tiers, and experience conducting independent research. You communicate effectively. Your ability to synthesize and clearly present complex research findings ensures your work drives understanding and decision-making. You are independent and proactive. You excel at managing your tasks and producing high-quality outputs with minimal supervision. You value collaboration. You’re a team player, open to feedback, and eager to work with internal colleagues to enhance the Foundation’s learning and impact. What You’ve Done: Advanced doctoral coursework or a post-doctoral position in a relevant field. Expertise in econometrics, quantitative research methods, and K-12 education preferred. Strong written and verbal communication skills. Demonstrated ability to work independently and meet project deadlines. Working at Overdeck Family Foundation This fellowship opportunity will span from March to October 2025, with an estimated time commitment of 35-40 hours per month. Overdeck Family Foundation will offer the Research Fellow a competitive monthly retainer of $2,500, totaling $20,000 for the full engagement. The role is fully remote though the Fellow will be welcome to join select meetings with the team in person at the Foundation’s New York City offices based on geographic proximity. The Research Fellow may perform duties as convenient though would be expected to be available to join occasional meetings or check-ins during the Foundation’s core working hours (10 a.m. to 4 p.m. ET). How to Apply Please complete the application form, which includes uploading the following materials: Resume/CV Example of Original Research: Submit an original research paper that you have led or co-led. This can be a working paper or a published paper. Example of a Literature Review: Share a literature review that you have led. This can be either published or unpublished.

Job Description We are sharing a specialised part-time consulting opportunity for PhD-level professionals experienced in advanced STEM research, technical problem design, scientific reasoning, domain-specific evaluation, and structured analytical task development. This role supports current and upcoming remote consulting opportunities focused on advanced scientific problem creation, domain-specific reasoning review, technical writing, research-informed task development, and high-quality project execution. Selected professionals will apply their subject matter expertise to create challenging problems in their field, evaluate technical reasoning, prepare structured written outputs, and support accurate, evidence-based STEM workflows. Key Responsibilities Professionals in this role may contribute to: Advanced STEM Problem Creation • Create difficult, domain-specific problems across fields such as mathematics, biology, chemistry, physics, computer science, statistics, economics, or related STEM areas, • Develop problems that require advanced reasoning, technical accuracy, and strong subject matter understanding, • Write clear reference solutions, expected reasoning paths, and structured answer explanations, • Ensure submitted work reflects rigorous domain knowledge and high-quality technical standards Technical Review & Scientific Reasoning • Review scientific or quantitative outputs for correctness, clarity, completeness, and reasoning quality, • Evaluate assumptions, calculations, methodologies, and conclusions against domain-specific standards, • Identify reasoning gaps, unsupported conclusions, ambiguity, and expected technical outcomes, • Provide structured feedback that helps improve task quality and evaluation consistency Research-Informed Task Development • Apply PhD-level research experience to design challenging tasks grounded in real scientific, mathematical, computational, or analytical concepts, • Translate complex domain expertise into clear, structured, evaluable task formats, • Work independently on technical assignments requiring sustained focus and careful written communication, • Maintain accuracy, consistency, and professional judgment across submitted work Ideal Profile Strong candidates may have: • PhD in a STEM field such as mathematics, biology, chemistry, physics, computer science, statistics, economics, engineering, or a related technical discipline, • Strong subject matter expertise and ability to design difficult problems within a specialized domain, • Excellent written and verbal communication skills in English, • High attention to detail and strong analytical judgment, • Ability to work independently and deliver high-quality technical outputs, • Comfort working on ongoing remote projects with structured requirements and clear deadlines Educational Background • PhD from a U.S., U.K., Canadian, European, or comparable research university in a STEM field is strongly preferred, • Research experience, academic publications, teaching experience, technical writing, or advanced applied work is highly relevant, • Equivalent high-level research or domain expertise may also be relevant depending on project scope Nice to Have • Experience creating advanced problem sets, research tasks, technical assessments, or benchmark-style materials, • Background in teaching, tutoring, academic research, peer review, technical evaluation, or scientific writing, • Strong familiarity with mathematical notation, scientific methods, computational reasoning, data analysis, or domain-specific research tools, • Ability to explain complex concepts clearly and precisely, • Availability for approximately 15–20 hours per week, with potential for increased project volume depending on performance and project needs Why This Opportunity • Apply PhD-level STEM expertise to structured remote project work, • Contribute to high-quality scientific problem design, technical reasoning review, and advanced analytical task development, • Work on flexible assignments aligned with your academic or research background, • Use your subject matter judgment in a focused, rigorous review environment, • Remote structure with competitive hourly compensation Contract Details • Independent contractor role, • Fully remote with flexible scheduling, • Expected commitment of approximately 15–20 hours per week, with potential for expanded availability depending on project needs, • Ongoing project structure with rolling applications, • Competitive rates between $65–$105 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Selected professionals may complete a short interview as part of the process, • Projects may be extended, shortened, or adjusted depending on scope and performance, • Work will not involve access to confidential or proprietary information from any employer, client, or institution About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

Job DescriptionABOUT MAISON L’OCCITANE EN PROVENCEBorn of a simple gesture in 1976, L’Occitane en Provence reveals the living power of flora, where the light of the sun meets the richness of the earth. With advanced expertise, we turn these natural treasures into sensorial, efficient experiences, as sustainable as possible and profoundly inspired by Haute Provencal nature. Our culture is built through everyday moments, how we behave, make decisions and show up for each other. With Trust as our foundation, Curiosity as our compass, Excellence as our standard, we create lasting Impact for the people around us and our planet. YOUR ROLEAs Senior Manager, Demand Planning (Brick & Mortar & E‑commerce), you are accountable for owning the end‑to‑end demand planning process for full‑price retail boutiques and E‑commerce across the United States and Canada. You are responsible for developing high‑accuracy sell‑through forecasts at the SKU‑by‑store (or store‑cluster) level using Anaplan to support sales targets while maintaining disciplined inventory levels. You will serve as a key planning partner to Retail Operations, Merchandising, Marketing, Supply Planning, Allocation, and FP&A, translating demand signals into executable supply plans and aligned financial outcomes. This role requires strong analytical rigor, cross‑functional influence, and hands‑on ownership of demand performance in a fast‑paced retail environment. PROFILE • Commercially minded, analytically driven leader with strong ownership of forecast accuracy and inventory outcomes, • 5–7 years of progressive experience in brick‑and‑mortar retail demand planning; omnichannel or E‑commerce exposure preferred, • Bachelor’s degree in Supply Chain, Business, Analytics, Engineering, Economics, or a related field., • Proven experience working within a formal S&OP environment, • Advanced Anaplan demand planning user (PlanIQ, UX, workflows)., • Proficiency in Excel; Power BI and SQL are a plus., • Knowledge of SAP a plus, • Demonstrated experience forecasting at SKU‑by‑store or store‑cluster level, • Strong business acumen with the ability to balance sales growth, service levels, and inventory health, • Advanced understanding of retail demand drivers, seasonality, promotions, and product launches, • Excellent communication and stakeholder management skills across cross‑functional teams, • Detail‑oriented with strong organizational and prioritization capabilities, • Highly analytical and data‑driven, with the ability to translate insights into action, • Proactive, resilient, and energized by fast‑paced, performance‑driven environments, • Collaborative, trusted partner who leads through influence rather than authority ROLE RESPONSIBILITIES • Demand Forecasting & Ownership, • Own and maintain a rolling sell‑through forecast for full‑price brick‑and‑mortar boutiques and E‑commerce across the U.S. and Canada using Anaplan, • Build demand plans from statistical baselines, layering in seasonality, traffic trends, promotions, events, weather, and store or channel changes, • Monitor forecast accuracy and bias, driving continuous improvement through root‑cause analysis, • Translate demand signals into clear inventory requirements to support sales objectives, • New Product and Promotion Planning, • Lead demand forecasting for new product launches, collections, and kits., • Quantify promotional and event lifts and improve promotion forecast accuracy., • Conduct post-launch and post-event analyses to refine future planning assumptions., • S&OP & Cross‑Functional Alignment, • Lead the Retail full price and E-commerce Demand Review as part of the monthly S&OP cycle., • Partner with FP&A to align demand plans with sales, budget, and OTB targets., • Provide a clean demand hand-off to Supply Planning and Allocation teams., • Retail & E‑commerce Collaboration, • Partner with Retail Operations on store openings, closures, and assortment or fleet changes, • Collaborate with Merchandising and Marketing on campaign calendars and go‑to‑market initiatives, • Ensure demand plans reflect channel‑specific strategies and operational constraints, • Performance Management & Continuous Improvement, • Track and report KPIs including forecast accuracy, forecast bias, service levels, and inventory health, • Identify opportunities to improve demand planning processes, governance, and Anaplan utilization, • Champion best practices in demand planning across retail and E‑commerce, • All other duties or projects as assigned WHAT WE OFFER • Comprehensive benefits package, • Annual discretionary corporate incentive bonus, • Competitive paid parental leave, • Generous employee discounts on our products, • The compensation for this role ranges from $95,000- $105,000 (based on skills, experience and with differentials applied if outside of NYC) L’Occitane North America offers a competitive compensation package and a comprehensive benefit. L’OCCITANE is an equal opportunity employer. This means that, when making decisions about our employees’ careers with us, our main considerations are their ability to do their jobs and develop in their roles. One way we cultivate change is by creating a more diverse and inclusive workplace and organizational culture. As part of this, we are committed to building an environment that is free from discrimination and harassment where everyone feels respected and valued. We recruit positive-minded people who share our core values: entrepreneurship, team spirit, leading by example and authenticity – and our commitment to sustainability. Employment may be subject to verification of references and background check investigation. All Applicants: L'Occitane's Privacy Statement United States Applicants Only: Employee Rights FMLA: Posters FMLA Special Rules for Returning Military Members (USERRA) Powered by JazzHR RZVu02o0lW