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Job DescriptionAbout the Company e.l.f. Beauty, Inc. stands with every eye, lip, face and paw. Our deep commitment to clean, cruelty free beauty at an incredible value has fueled the success of our flagship brand e.l.f. Cosmetics since 2004 and driven our portfolio expansion. Today, our multi-brand portfolio includes e.l.f. Cosmetics, e.l.f. SKIN, pioneering clean beauty brand Well People, Keys Soulcare, a groundbreaking lifestyle beauty brand created with Alicia Keys, Naturium, high-performance, biocompatible, clinically-effective and accessible skin care, and our newest brand, rhode, a line of curated skincare essentials, formulated for a variety of skin types and needs with high performance ingredients, it’s a daily routine that nourishes your skin barrier over time. In our Fiscal year 25, we had net sales of $1 Billion and our business performance has been nothing short of extraordinary with 28 consecutive quarters of net sales growth. We are the #2 mass cosmetics brand in the US and are the fastest growing mass cosmetics brand among the top 5. Our total compensation philosophy offers every full-time new hire competitive pay and benefits, bonus eligibility (200% of target over the last six fiscal years), equity, flexible time off, year-round half-day Fridays, and a hybrid 3 day in office, 2 day at home work environment. We believe the combination of our unique culture, total compensation, workplace flexibility and care for the team is unmatched across not just beauty but any industry. Visit our Career Page to learn more about our team: Position Summary: We are seeking a highly skilled Sr. Engineer, IT Security to lead enterprise-wide cybersecurity initiatives and strengthen our security posture across on-premises and cloud environments. This role involves designing and implementing advanced security solutions, including Zero Trust, DLP, Cloud Security, Network Segmentation, IAM, and Security Automation. The ideal candidate will collaborate with cross-functional teams to identify risks, develop mitigation strategies, ensure regulatory compliance, and proactively defend against evolving threats while safeguarding our systems, data, and infrastructure.Responsibilities: • Design, build, deploy, and maintain enterprise security technologies and solutions aligned with business objectives, compliance requirements, and the cybersecurity program., • Develop, document, and enforce security policies, standards, and procedures based on frameworks such as NIST, CIS, ISO 27001, and SOX while advancing overall security maturity, governance, and processes., • Lead strategic security initiatives, including Zero Trust architecture, Data Loss Prevention (DLP), Cloud Security, Network Segmentation, IAM, Endpoint Security modernization, and security automation., • Manage and improve email security, DNS security, and other protective controls to defend against phishing, malware, data exfiltration, and domain-based threats., • Lead vulnerability management programs and drive remediation efforts, providing visibility into risks and progress to stakeholders., • Oversee incident response lifecycle—detection, analysis, containment, remediation, post-incident review—and continuously enhance disaster recovery and business continuity plans., • Monitor and analyze security events and network activity (e.g., traffic analysis, host behavior, forensics, kill chain, Windows event analysis), tuning tools, and event correlation for accurate threat detection., • Collaborate with IT, DevOps, and digital teams to embed security into system design, application development, deployment pipelines, and cloud infrastructure., • Evaluate and review vendor and partner security practices to ensure alignment with organizational standards., • Produce regular security dashboards and metrics to report on incidents, threats, and operational effectiveness., • Lead security awareness training, mentor junior engineers, and guide cross-functional teams on secure design principles and best practices., • Stay current on emerging threats, vulnerabilities, and technologies to enhance enterprise resilience.Requirements:, • Bachelor’s degree in Computer Science, Cybersecurity, or related field; Master’s preferred., • 7+ years of experience in information security engineering, architecture, or operations., • Expertise in cloud security (AWS, Azure, GCP), data protection, IAM/SSO/MFA, email and DNS security, and secure network architecture., • Hands-on experience with key security technologies: firewalls, VPN, NAC, EDR/MDR, IPS/IDS, SIEM, DLP, vulnerability management, and email security platforms (Proofpoint, Mimecast, Microsoft 365 Defender)., • Strong understanding of Zero Trust, endpoint protection, DevSecOps, security automation, and scripting (Python, PowerShell, Bash)., • Proven ability to lead incident response, risk assessments, threat detection, and remediation efforts., • Experience implementing DNS protection solutions (Cisco Umbrella, Cloudflare, Infoblox, Valimail)., • Knowledge of security frameworks and compliance standards: NIST CSF, CIS Controls, ISO 27001, SOX., • Demonstrated success in leading security awareness programs, mentoring team members, and advancing security program maturity., • Relevant certifications preferred: CISSP, CISM, CISA, GIAC, Microsoft Security certifications, AWS Security Specialty, Azure Security Engineer Associate., • Strong communication, leadership, and ability to manage multiple security initiatives.Must Have:Strong Technical Security Foundation & Architecture, • Deep knowledge of network, cloud, and endpoint security., • Hands-on experience with firewalls, SIEM tools (e.g., Splunk, Sentinel), EDR/XDR, IAM, and vulnerability management., • Understanding of encryption, authentication, and secure architecture design.Incident Response & Threat Management Skills, • Ability to detect, analyze, and respond to security incidents effectively., • Skilled in log analysis, threat hunting, and forensics., • Familiarity with MITRE ATT&CK, common attack techniques, and SOC operations.Risk Assessment & Communication, • Strong ability to assess vulnerabilities, prioritize risks, and implement mitigations., • Can translate technical findings into business impact and communicate clearly with both technical and non-technical teams.

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS. Where you will work: This role is open to remote candidates across the U.S. For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week. What you will do: • Build, optimize, and maintain data pipelines that power our business, • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research, • Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies, • Protect our users' privacy and security through best practicesThe ideal candidate has:, • 4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality), • Expertise in SQL, job experience, and demonstrated strength with Python, • Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets, • Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake), • Expertise with SQL tuning, Spark development, medallion and event-driven architectures., • Familiarity with healthcare or insurance, • Familiarity with data security and HIPAA compliance, • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedbackTechnologies we use:

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you. Responsibilities • Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact, • Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams, • Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques, • Utilize ML infrastructure to serve model inferences in real time using live data streams, • Write production code within a backend Python monolith to invoke ML predictions., • A bachelor's degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR, • A master's or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models., • Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI), • Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets, • Experience developing agentic AI workflows is a plus, • Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations, • Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun, • This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Alexander Group: Decades of experience growing revenue for global companies Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe. Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to design go-to-market strategy—we also have a rich repository of industry data that informs all of our recommendations. Our dedication to revenue growth and sales strategy has led to: • More than 70% of our clients being Fortune 500 corporations, • Project work in more than 25 countries, • Extensive industry experience in B2B markets Position Overview: The Associate Commercial Data Scientist will work with multiple teams during their first months of employment, learning from both their direct peers in Alexander Group’s Commercial Analytics practice and from more business-oriented peers in Alexander Group’s general practice. This role will be client-facing. The Associate Commercial Data Scientist will work with project teams to present and interpret statistical analyses in business contexts. The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings. The combination of on-going coaching from the Commercial Analytics practice and the ability to engage with senior leadership enables the Associate Commercial Data Scientist to enjoy outstanding professional growth and career opportunities. This role will report to Alexander Group’s leader of Consulting Services. The firm’s culture, built on teamwork and meritocracy, empowers our professionals to support each other in their career development. Responsibilities: • Support teams engaged with big data environments, • Create, apply and interpret advanced statistical & machine learning approaches, • Advise teams with data preparation and model-building best-practices, • Use and develop communication skills to communicate project findings, conclusions and recommendations with your peers and clients, • Participate in client meetings to review and present analytical approaches and interpret results, • Build, rollout, and support the use of automated Alexander Group internal tools for project-related analytics, • Help standardize/consolidate modeling approaches for Alexander Group service offerings, • Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.) Qualifications: • Bachelor’s degree with solid academic achievement, • 1+ years of relevant professional experience, • Coursework in Mathematics, Economics, Data Science, Statistics or Computer Science strongly preferred, • Knowledge of supervised & unsupervised machine learning algorithms for regression/classification, • Proficiency with open-source data science languages like R or Python, • Experience with Data Visualization tools like PowerBI or Tableau, • Moderate to advanced Excel and PowerPoint skills are preferred, • Ability to manage multiple priorities/projects, • Problem solving skills for business problems, • Strong interpersonal and team working skills, • Good communication skills (written and verbal), • Ability to learn quickly and resourcefully, • High degree of motivation, flexibility and creativity, • Positive attitude and strong willingness to learn from mentors and peers, • Ability to travel (sometimes on short notice) Compensation: $90,000-$100,000 base; bonus eligible EEO Employer. Required Work Eligibility: Must be eligible to work in the U.S. at the time of application with no current or future restrictions or sponsorship necessary. TN visa accepted. Company DescriptionAlexander Group: Decades of experience growing revenue for global companies. Alexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results. Founded in 1985, we’ve served more than 3,000 industry-leading companies around the world. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations. Our dedication to revenue growth and sales strategy has led to: -More than 70% of our clients being Fortune 500 corporations -Project work in more than 25 countries -Extensive industry experience in B2B marketsAlexander Group: Decades of experience growing revenue for global companies.\r\n\r\nAlexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results.\r\n\r\nFounded in 1985, we’ve served more than 3,000 industry-leading companies around the world. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations.\r\n\r\nOur dedication to revenue growth and sales strategy has led to:\r\n\r\n•More than 70% of our clients being Fortune 500 corporations\r\n•Project work in more than 25 countries\r\n•Extensive industry experience in B2B markets

Job Description OUR MISSION We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person's cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you're inspired to make cancer care more human and to help reimagine what's possible, we'd love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. WHAT YOU'LL DO As a Data Integration Engineer on our Data Ingestion & Care Enablement (DICE) team, you'll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You'll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: • Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars), • Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by, • Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies), • Debugging issues in ongoing ones, • Helping standardize our processes and pipelines, • Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts, • Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention, • Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing, • Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills), • Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences, • Strong SQL skills, • Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects, • Working knowledge of Python for data investigation in notebooks, • Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation, • Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes, • Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines, • Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego, • The ability to engage technical and non-technical stakeholders to explain what's happening in our pipelines and identify opportunities to improve transparency and alerting, • Act with our members in mind. Thyme Care's mission, and in particular our member experience, matters deeply to you., • Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs, and do what it takes to ensure that urgent and important needs are acted on immediately., • Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge., • Reliability mindset. You treat recurring failures as solvable system problems and systematically reduce them with testing and automation., • Practical judgment. You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why., • Clear collaboration. You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps. At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $139,500-$155,000. The salary range could be lower or higher than this if the role is hired at another level. We recognize a history of inequality in healthcare. We're here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer. Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it. Who you are As a Revenue Management Analyst, you will be responsible for maximizing revenues for Metropolis technology-enabled commercial assets. The candidate will be integral in helping shape the direction, analysis, and processes of the Revenue Management department. We are looking for team members who are analytical, creative, and innovative, but most importantly, can use data to drive decisions. The successful candidate will be expected to develop an in-depth understanding of the marketplace and develop yield and pricing strategies to increase revenues and drive a competitive advantage for Metropolis. What you'll do • Maximize revenues by developing and implementing strategies through quantitative analysis of historical parking demand, competitive environment, and consumer buying behavior, • Design and deliver high-impact client presentations that translate complex data sets into actionable insights and clear strategic narratives for external partners, • Develop a working relationship with SMEs in the field to understand the nuances of each market, • Determine optimal pricing and create new pricing products to capitalize on changes in consumer buying habits, • Build a knowledge of the digital ecosystem (distribution channels) and understand the impact of pricing actions within the ecosystem on demand, • Create and capture data-driven revenue opportunities through advanced analytics, • Proactively evaluate the effectiveness of the implemented strategies and regularly report performance trends to clients and internal leadershipWhat we're looking for, • BS/BA or advanced degree with experience in a quantitative discipline (economics, finance, accounting, statistics, data science, etc.), • 2+ years of related experience at an airline, hotel, rail, shipping, cruise, or rental car company, • Intermediate to Advanced proficiency in Google Sheets and/or Microsoft Excel, • Ability to query data (i.e. SQL) and deliver strong business insights, • Demonstrated analytical skills, including the ability to assemble information, extract pertinent facts, draw logical conclusions, and present recommendations, • Exceptional communication skills, with a proven ability to synthesize technical findings into compelling presentations for non-technical audiences, • Leverage understanding of business processes to identify and implement solutions that will result in significant bottom-line contributions, • Interest in optimization problem-solving, economic game theory, and consumer buying behavior, • Good interpersonal skills and ability to interact with the working team and external stakeholders When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $70,000.00 USD to $80,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-DL1 #LI-Onsite Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionBeghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices. Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes. This role supports the conceptualization, execution, and integration of data-driven projects for commercial efforts in the pharmaceutical and life sciences industries. As a subject matter expert, you will drive innovation and creative solutions within various work streams and provide thought leadership. You will lead project teams and play a pivotal role in guiding internal stakeholders toward project success. We'll trust you to: • Lead cross-functional project teams in the design and development of high-quality deliverables for clients., • Implements innovative data engineering-based solutions independently within project scope; applies data engineering knowledge to projects and shares with team., • Engages in implementation and architecture discussions with senior team members for the purpose of contributing to design ideas and best practices., • Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients., • Collaborate with leadership to define project scope, approach, and development strategies., • Analyze data, synthesize findings, and develop actionable insights, and communicate results to both internal and external teams., • Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight., • Develop and optimize data processes, utilizing coding where necessary to facilitate efficient data handling and reporting., • Coordinate with global and diverse teams to ensure seamless project execution., • Engage in business development activities and contribute to internal firm initiatives to drive organizational growth., • Promote and uphold strong coding standards by developing efficient coding practices, conducting regular code reviews, and guiding the team toward high‑quality, maintainable engineering solutions., • Bachelor's degree in Computer Science, Math, Engineering, or other relevant field of study., • Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Redshift, or Snowflake. 1, • Hands-on experience using Python, including pandas and/or PySpark., • Experience with Git-based workflows and CI/CD practices., • Proficiency using Microsoft Office products, including Excel, PowerPoint, and Word., • Advanced problem-solving skills., • Self-motivated with excellent attention to detail., • Excellent verbal and written communication skills., • Strong organizational and time management skills., • Effective leadership and project management capabilities., • Ability to work effectively with others and adapt quickly., • Experience building systems in event-driven or streaming architectures, preferred. 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 DescriptionAbout Us: OptionMetrics, headquartered in New York, NY. is a dynamic and innovative technology company, a trusted provider of financial information and research derived from the option markets. We are at the forefront of developing solutions that empower businesses. Our commitment to excellence, coupled with a collaborative, forward-thinking culture, has made us the preferred choice for top-tier talent. Our data and analytics models are utilized by over 350 investment banks, hedge funds, asset management firms, and academic institutions globally, solidifying our position as a leader in the industry. This position is based out of our NYC office and follows a flexible work arrangement with an expectation of working onsite three days per week. About the Role: OptionMetrics is seeking a Data Quality Analyst to join our Data Quality & Analytics team. In this role, you will be responsible for the integrity and accuracy of our option price data, volatility surfaces, and quantitative models across our many regional products. What You'll Do: · Develop and implement comprehensive validation frameworks for options pricing models, volatility surface construction algorithms, and other implied calculations.· Document and evaluate new methodologies and analytics to ensure consistency and accuracy.· Collaborate with Quants, Data Analysts, and Business Analysts to improve model integrity What We're Looking For: · Proficiency in Python for data analysis, statistical modeling, and automation.· Experience with large-scale database systems (SQL Server, PostgreSQL) and handlingdatasets with millions of records.· Proficiency in statistical methods for outlier detection, time series analysis, andmultivariate techniques.· Experience in advanced statistical modeling, as well as proficiency integrating AI intoworkflows or using AI/LLMs to improve systems.· A degree in Finance, Computer Science, Mathematics, Data Science, Statistics, or arelated field.· Familiarity with financial markets, derivatives, or risk modeling is a plus.OptionMetrics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Further, OptionMetrics will not discriminate against applicants for inquiring about, discussing or disclosing their pay or, in certain circumstances, the pay of their co‐worker, Pay Transparency Nondiscrimination. If you need a reasonable accommodation for any part of the employment process, please contact us by email and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 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 Description Data Scientist NYC, NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI Data Science team, with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable, production-grade data and machine learning pipelines that power analytics, predictive models, and AI-driven insights across the firm, including work within our Databricks environment. Required Qualifications • § 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles • § Advanced proficiency in Python, with demonstrated experience building production- grade data, ML, or GenAI pipelines • § Hands-on experience working with Generative AI or LLM-based systems, including prompt design, evaluation, and application integration • § Strong grounding in data analysis, statistics, and exploratory analysis • § Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders • § Strong hands-on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment • § Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing • § Experience deploying and maintaining machine learning models in production environments • § Excellent communication skills, with the ability to explain complex technical concepts clearly Preferred Skills • § Experience with MLflow, model registries, and experiment tracking • § Familiarity with version control and deployment workflows for data, ML, and GenAI solutions • § Experience with RAG architectures, vector databases, or semantic search • § Familiarity with GenAI evaluation techniques, including human-in-the-loop review • § Knowledge of SQL and data warehousing concepts • § Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases • § Ability to design analyses and narratives appropriate for senior consultant and executive audiences • § Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust

Job Description Company Overview Mantra Health is an award-winning digital mental health provider on a mission to make evidence-based care more accessible to students. We partner with colleges and universities to offer comprehensive virtual mental health services, including therapy, psychiatry, 24/7 crisis care, emotional wellness coaching, and self-care content. Our technology solutions seamlessly integrate with campus health systems to enhance student well-being and improve graduation rates. Recognized as a leader in digital mental health, Mantra Health was named a Rising Star by the UCSF Digital Health Awards and won Juniper Research's Gold Star for Best Digital Therapeutic Solution. Today, our programs support over 900,000 students across 125+ campuses, including Penn State, MIT, and Miami Dade College. We've raised over $34M from leading investors and we're looking for ambitious, talented, action-oriented individuals to join us in shaping the future of student mental healthcare. Opportunity for Impact Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention. This role sits at the intersection of product, engineering, and strategy—turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next. This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure. The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities. What You'll Do • Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs., • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale., • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery., • Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed., • Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts., • Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes., • Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners., • Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the "so what." You tell compelling stories with data that resonate with executives, partners, and cross-functional teams., • Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments., • Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly., • Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work., • Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data., • Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making., • Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the "so what" to inform decisions at multiple levels of the organization., • Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes., • AI & LLM Experience: Experience applying natural language processing techniques or working with large language models, even in experimental or early production contexts., • Production Analytics or ML Exposure: Experience supporting analytics or machine-learning systems in production, including validation, monitoring, or iteration over time., • Data Visualization & BI Tools: Familiarity with tools such as Looker, Tableau, or similar platforms for communicating trends and insights prior to full productization., • Impactful Opportunity: Your work will directly influence how institutions understand and support student mental health. The insights you deliver can guide real decisions that help students access care sooner and more effectively., • Professional Growth: This is a high-ownership role within a strategic product area. You'll deepen your analytical and technical skills while expanding your product thinking and business impact through close collaboration with senior leaders., • Collaborative Culture: At Mantra, we value empathy, inclusion, and intellectual curiosity. You'll join a mission-driven team that collaborates closely and supports continuous learning., • Career Advancement: As Mantra continues to grow, this role offers opportunities to expand scope and influence over time. We invest in our team's long-term success and support individuals as they take on increasing responsibility. Compensation & Benefits Compensation: $150,000 - $200,000 Pay range may vary by location and is commensurate with experience and market rates. At Mantra, our distributed team is our secret sauce that allows us to support our mission everyday. We're collaborative, empathetic, and curious. We take time to celebrate our wins and learn from our mistakes. Each full-time employee at Mantra enjoys: • Stock Options, • Medical, vision, and dental coverage for employees, spouses, and dependents, • 401(k), • Flexible work location, • Generous PTO, sick days, jury duty days, and bereavement. Three week sabbatical and $3,000 stipend after five years of continuous full-time employment, • Inclusive parental leave, equal for all parents, • $1,000 new-parent mental wellness benefit, • Commuter card, if you commute, • Access to One Medical, • Healthcare & Dependent Care FSA Join us in shaping the future of student mental healthcare through data! If you're excited by the opportunity to build life-changing technology and have the skills and passion to match, we'd love to meet you. Apply today to help us transform mental health support for the next generation. Note: This role is open to candidates based in the United States. We are a remote-friendly team (with a slight preference for New York-based candidates for occasional in-person collaboration). Mantra Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Protect Your Information: Mantra Health has been made aware of fraudulent recruitment activities where individuals pose as our hiring team. Please note that all official communications will come from an @mantrahealth.com email address. Click here to learn more.

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Hours: 3040 hours/week or Full-Time (Flexible) About the Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions. Key Responsibilities * Analyze large, complex datasets to uncover patterns and generate actionable insights * Build predictive models and ML pipelines across: * Tabular data * Time-series data * NLP * Multimodal datasets * Design and implement validation strategies, experimental frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations * Translate analytical results into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale * Present findings via dashboards, structured reports, and documentation Required Qualifications * Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) * 35+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) * Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis * Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) * Excellent communication skills and ability to present analytical insights clearly Nice to Have * Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in AI labs, fintech, product analytics, or ML-driven organizations * Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data * Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with Bayesian methods or probabilistic programming frameworks Why Join * Work on cutting-edge AI research workflows * Collaborate with world-class data scientists and ML engineers * Solve high-impact, real-world data science challenges * Experiment with advanced modeling strategies and competition-grade validation techniques * Flexible engagement options ideal for Kaggle-level problem solvers

Job DescriptionWho we are The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators and problem solvers to help us create it. Who you are Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers. What you'll do • Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS), • Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning, • Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion, • Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes, • Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python, • Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations, • Utilize EPM Automate alongside Python or batch scripting for complex job scheduling, • Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments, • Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applicationsWhat we're looking for, • 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise, • Bachelor's degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field, • Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM, • Proficiency in SQL and Python with a proven track record of automating financial processes, • Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers, • Exceptional ability to bridge the gap between technical data architecture and functional financial insights, • Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT, • Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environmentWhile not required, these are a plus: Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate's application relative to the required job qualifications and responsibilities listed in the job posting. As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake., • Own and guide the development of our data infrastructure., • Orchestrate complex data workflows using Dagster., • Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work., • Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods., • Bachelor's degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience, • 7+ years experience in engineering, with at least 5 years of experience in a data engineering role, • Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries, • High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations, • Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus, • Experience with data exploration, profiling, governance, visualization, and activation, • Proven ability to thrive in an ambiguous and rapidly changing environment, • Experience working with sensitive data in a regulated environment, • Expertise in healthcare and/or revenue cycle management is a plus, • You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: The Dating Outcomes group is responsible for ensuring that people see their most compatible matches, helping them present themselves more effectively, and start meaningful conversations when they match. In short, we help people go on great dates! We are hiring Senior Machine Learning Engineers to help us build the foundations of an AI first dating experience using the latest advancements in the field, leveraging Hinge’s years of preference data. You can expect to build recommendation systems end to end, experiment with using LLMs, photo and mixed input embedding models, as well as build and deploy real-time predictive models that directly impact the experience of millions of users. This is a fast-growing team, and you will have the opportunity to own and define the strategy, vision, and plan for accelerating machine learning at Hinge.Responsibilities • Own and contribute to foundational models that power our recommendations ecosystem., • Contribute to the research and development of models powering Hinge and experiment with the latest innovations in the field of Machine Learning (e.g., LLM agents, MMoE models, VAEs, etc.), • Design, advocate for, and implement solutions that ensure availability, scalability, operational excellence, and cost management, while delivering incremental impact to our daters., • Collaborate closely with other Machine Learning engineers, Product Managers, Data Engineers, and Scientists to understand our users' needs and identify opportunities to make their experience better through machine learning., • Mentor and educate Machine Learning Engineers on current and SOA research, technologies, and best practices of practicing machine learning at scale.What We're Looking For, • Strong programming skills: Proficiency in languages like Python, Java, or C++, • System design & architecture: Proven track record of training and deploying large scale ML models, especially DNNs. Good understanding of distributed computing for learning, data processing, and inference., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, Databricks, KubeFlow, or W&B is a plus., • ML knowledge: Deep understanding of DNN architectures, track record of building, debugging, and fine-tuning models. Familiarity with PyTorch, TF, knowledge distillation, and recommender systems is a plus., • DevOps skills: The ability to establish, manage, and use data and compute infrastructure such as Kubernetes and Terraform., • Data engineering knowledge: Skills in handling and managing large datasets, including data cleaning, preprocessing, and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds., • Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation, • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 4+ years of experience, depending on education, as a Machine Learning Engineer., • 2+ years of experience working in a cloud environment, such as GCP, AWS, or Azure, and with DevOps tooling, including Kubernetes., • 2+ years of experience designing and developing online and production grade machine learning systems., • 1+ year of experience leading projects with at least 1 other team member through completion. #Hinge

Job DescriptionCompany Description Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success. We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference! Job Description You will play a key role in shaping how data flows across Uncommon Schools, helping teams make better decisions that directly impact students and communities. As a Senior Data Engineer, you’ll design and build the systems that connect our applications and data warehouse, ensuring data is accurate, accessible, and reliable. You’ll partner closely with teams across Data, IT, and the organization to translate complex needs into scalable solutions. This is a highly collaborative role where your work will strengthen how we use data to drive outcomes and continuously improve how we operate. Responsibilities Data Integration & Architecture • Design end-to-end data pipelines and integrations aligned to organizational goals, • Build and maintain APIs to enable seamless data movement across systems, • Transform and connect data across applications and the data warehouse while maintaining data integrity, • Provide advanced support for data integrations and partner with IT and Product teams to resolve issues, • Guide implementation of new integrations and support systems post-deployment, • Select and implement tools that support integration and data infrastructure needs, • Partner with stakeholders to understand needs and translate them into technical solutions, • Communicate complex concepts clearly to support strong decision-making, • Mentor team members and support adoption of best practices and coding standards, • Monitor integrations to ensure accuracy, reliability, and security, • Maintain documentation and a centralized view of data integrations, • Support development of governance frameworks for data management, • Contribute to long-term enterprise architecture planning and technical directionQualifications Required • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience, • Experience building and maintaining data integrations in RESTful or SOAP environments, • Proficiency in at least one programming language such as Python, JavaScript, C#, or Java, • Strong experience writing and maintaining complex SQL queries, • Experience with data pipeline and workflow tools such as Apache Airflow, • Experience with data modeling tools such as dbt, • Experience with data validation tools or frameworks, • Experience working with AI coding tools or assistants, • Strong problem-solving skills with attention to detail, • Ability to prioritize work and manage multiple responsibilities, • Clear and thoughtful communication with both technical and non-technical audiences Additional Information Our people are what make us Uncommon. We offer competitive compensation and comprehensive benefits that support the personal health, wellness, and finances of our staff and their families. Our compensation philosophy values equity & fairness and attracting & retaining top talent. Compensation The full compensation range for this role is $120,700 to $142,000. Typically, new hires who fully meet all qualifications listed in the job description will start at $124,300. Starting compensation below this reflects candidates with less experience or qualifications. Offers near the top end of the range are reserved for candidates who significantly exceed the qualifications, bringing extensive experience and specialized expertise beyond what is listed. Compensation determinations consider relevant professional experience and tenure with Uncommon Schools. Work Environment Manhattan-based role with in-office work three days per week. Benefit Highlights: • 19 days of paid time off, • 3 weeks of paid Winter and Summer org-wide holidays, • Comprehensive Health, Dental, and Vision insurance plans, • 403(b) retirement savings program + employer match, • Paid leave of absence options (parental, medical, disability, etc.), • Mental health and counseling support + wellness benefits, • Pre-tax flexible spending, dependent care, and health saving accounts *A detailed list of all benefits is located HERE. At Uncommon, we believe that a supportive and welcoming environment helps our students, staff, and community thrive. We are dedicated to building a team that brings a wide range of perspectives and experiences, reflective of the communities we serve---with over 70% of our staff identifying as people of color. Our organization values respect and open dialogue on important topics that shape our school culture. As an equal opportunity employer, Uncommon 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 federal, state or local laws. We also ensure that individuals with disabilities receive all privileges and benefits associated with employment and are provided reasonable accommodations for the interview process and to perform core job functions. If you would like to request an accommodation, please email .

Job Description Hi, we're Oscar. We're hiring a Senior Manager, Individual and Family Plan Insurance Solutions to join our Insurance Product Development team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Manager, Individual and Family Plan Insurance Solutions is a hands-on product owner accountable for end-to-end plan outcomes for assigned IFP markets. This role owns plan strategy, detailed design, filing execution, launch readiness, and post-launch performance, and is directly responsible for plan quality and stability once live. This individual is also directly accountable for health solution execution from product development to filing, launch, and post-launch performance, while also being directly accountable for plan readiness, quality, and issue remediation. You will report into the Vice President, Insurance Product Innovation and Development Work Location: This is a remote / work-from-home role. You must reside in one of the following states: Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Texas, or Virginia. Note, this list of states is subject to change. #LI-Remote Pay Transparency: The base pay for this role is: $149,040 - $195,615 per year in New Jersey, New York, and California. The base pay for all other locations is: $134,136 - $176,053 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses. Responsibilities: Strategy & Plan Design * Lead end-to-end plan design, including benefits, cost-sharing, and networks while balancing member experience with affordability and operational constraints * Translate market strategy, regulatory requirements, and growth objectives into detail executable designs * Proactively identify design opportunities or risks based on market dynamics and performance insights * Use quantitative and qualitative data to drive design decisions and proactively identify market risks or opportunities. Execution & Filing Ownership * Serve as the primary product owner for assigned market filings, coordinating cross-functionality with Actuarial, Regulatory, Compliance, Operations and Technology teams to ensure on-time accurate delivery * Ensure all designs are accurately reflected in filings, systems, and member-facing materials Quality, Approvals & Accountability * Lead plan-level Quality Assurance (QA) and readiness reviews; identify and remediate design or execution defects * Escalate material risks with clear recommendations and supporting analysis Post-Launch Performance * Partner with Market Directors and Actuarial to monitor plan performance post-launch * Identify underperformance, conduct root-cause analysis, and drive corrective actions * Feed learnings forward into future plan cycles and portfolio discussions Requirements: * 6+ years of product management experience, preferably in IFP and Employer-Subsidized products * 5+ years of management experience in cross-functional environment (e.g., finance, consulting, health insurance) * 4+ years of experience owning plan design and regulatory filings * 3+ years of experience and strong proficiency with Excel and SQL required to manipulate and analyze data BS/BA degree in a quantitative or healthcare field such as Business, Healthcare, Economics, Mathematics, Statistics, Actuarial Science and Finance or equivalent years of experience. * 6+ years in a fast-paced, cross-functional environment such as consulting, finance, economics, or business development * Prior experience in Health Insurance (Individual and/or Small Employer) and/or Healthcare industry * Experience with R, and/or Python * Demonstrated ability to navigate ambiguity to drive to outcomes, work with large datasets and distill analyses into actionable business insights with a structured and systematic thought process This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR eo3X22hHCS

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated Plasma-Materials Scientist to join our team, focusing on plasma-facing material development. The ideal candidate will possess a strong background in the research and development of plasma-surface interactions, with particular emphasis on material survivability evaluation, plasma and heat-induced erosion processes, and plasma contamination effects in fusion-relevant environments. You will work with high autonomy and ownership, and contribute to cutting-edge research and development in Thea Energy’s stellarator systems.Key responsibilities: • Contribute to the construction and commissioning of a plasma device and diagnostics for exposing and evaluating plasma-facing material candidates., • Collaborate with plasma-material exposure facilities and use materials characterization tools for surface evaluation., • Provide technical guidance across team members in plasma device operation, plasma-material performance assessment and experimental planning., • Participate in stellarator plasma-facing component operational campaign planning., • Utilize computational and simulation tools to perform plasma-surface interaction simulations, thermal analysis, and contribute to multi-physics modeling efforts.Required Experience & Skillsets:, • Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related field., • Knowledge of basic plasma physics., • Experience with vacuum systems., • Experience with experimental plasma setups and diagnostics such as industrial plasma sources, RF plasmas, spectroscopic diagnostics, laser-based diagnostics, and electrostatic probes., • Experience with surface analysis techniques such as electron microscopy, atomic-scale microscopy, and elemental composition analysis methods (e.g. XPS, EDX, Raman)., • Experience with one or more of the following: Python, MATLAB, FEA tools, COMSOL, C++, Fortran., • Ability to work independently and manage projects., • Strong attention to detail, • A passion for advancing fusion energy to commercialization., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Ideal Experience & Skillsets:, • PhD in applied plasma physics or a related field., • Experience with fusion boundary plasmas and/or low-temperature plasmas., • Experience with linear plasma devices., • Experience in tokamak or stellarator divertor research., • Experience with ERO2.0, TRIDYN, SDTrimSP/TRIM, WALLDYN, or RustBCA.Company Benefits:, • Salary range $100,000-$160,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Data Scientist. In this role you will support hands-on analysis, data preparation, validation, and feature exploration to enable accurate predictive modeling. This is an execution-focused role ideal for someone who enjoys working closely with large datasets, uncovering patterns, and collaborating with senior data science leadership. Responsibilities: • Support data validation across historical and newly ingested datasets., • Analyze large datasets to identify trends, patterns, and feature relevance., • Assist with data preparation, cleansing, and transformation for modeling., • Collaborate with the Senior Data Scientist on feature understanding and engineering., • Evaluate data across multiple data zones to ensure consistency and accuracy., • Help refine predictive outputs to improve demand and pricing forecasts., • Professional experience as a Data Scientist or Applied Data Analyst., • Strong background in data preparation, validation, and exploratory data analysis (EDA)., • Experience working with historical time-series or pricing/demand datasets., • Proficiency with Python and common data science libraries (Pandas, NumPy, scikit-learn, etc.)., • Ability to collaborate effectively with senior technical leads and stakeholders., • Experience with AWS data services (S3, Glue, Athena, Redshift, SageMaker)., • Exposure to pricing, demand forecasting, or supply chain analytics., • Familiarity with structured PoC or prototype-driven projects., • Strong documentation and communication skills. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Short-term contract (month-or two) Benefits: • Remote work Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

Job Description Software Engineer, Full Stack (Frontend-Leaning) Location: New York City (SoHo) — In-Person About Our Client Our client is building the next-generation platform for institutional finance. The OTC derivatives market moves trillions of dollars daily on infrastructure that hasn't meaningfully evolved in decades—this team is modernizing that foundation with a delightful user experience, a modern cloud-native stack, and an AI-native architecture designed for how financial services will operate over the next 10–20 years. The team comes from trading, quantitative, and engineering roles at top-tier financial institutions, and they're building systems capable of processing complex, high-stakes transactions across global markets. Their customers include sophisticated banks, hedge funds, and asset managers—meaning the problems are hard, the expectations are high, and the impact is real. Tech Stack * Cloud-native architecture (serverless-first) + Infrastructure-as-Code (IaC) * Backend services in Python and Java * Frontend in TypeScript / React * AI tooling leveraging modern foundation models * Automated SDLC with tools like GitHub, Logfire, Vercel, and rapid intraday deployment practices The Role Our client is hiring a Full Stack Software Engineer with a frontend focus to help build and scale the systems powering a derivatives and capital markets platform. You'll translate financial and business requirements into reliable, scalable, user-friendly product experiences—working closely with engineers and stakeholders in a fast-moving environment. This is a hands-on role for someone who enjoys building polished front-end experiences while still being comfortable going full stack when needed. What You'll Do * Build and maintain high-performance React/TypeScript applications used by institutional finance teams * Develop responsive, accessible, and data-rich UI experiences (tables, workflows, analytics views) * Partner with product and design to translate complex workflows into intuitive user journeys * Integrate with backend services (Python/Java) through REST and/or GraphQL APIs * Contribute to scalable architecture, clean code practices, testing, and deployment automation * Help enhance platform reliability and performance in a high-expectation, high-velocity environment Requirements * Bachelor's degree in Computer Science, Engineering, Mathematics, Financial Engineering, or related field * In-person in NYC (SoHo) * Strong proficiency in React and modern JavaScript/TypeScript * Experience building responsive, accessible, data-driven frontend applications * Working knowledge of backend development in Python, Java, or similar languages * Experience with databases (e.g., MongoDB or other object/document databases) * Experience integrating with RESTful and/or GraphQL APIs * Familiarity with cloud infrastructure and deployment (AWS, GCP, or Azure) * Strong software design fundamentals across frontend and backend * Ability to collaborate cross-functionally (engineering, product, design) * Strong debugging, problem-solving, and communication skills Bonus Qualifications * Financial systems knowledge: reference data, pricing, market data integrations * Experience with trade capture, valuation, risk, or post-trade workflows * Familiarity with derivatives, FX, or fixed income products * Experience with reconciliation and operational data pipelines * Prior experience supporting institutional clients in capital markets * Experience building or integrating Generative AI (OpenAI, Anthropic, Gemini) into financial applications What Success Looks Like (First 90 Days) * Ship meaningful frontend improvements that reduce friction in core workflows * Build confidence with the domain (OTC derivatives + post-trade lifecycle) and the platform architecture * Improve UI performance, reliability, and developer velocity through clean patterns and automation * Become a trusted owner of key product surfaces used by sophisticated institutional customers

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a proactive and detail-driven Analytics Engineer to connect the worlds of data analysis and data engineering. In this role, you will design, develop, and refine data pipelines to transform raw data into meaningful insights that empower marketing, operations, and decision-making teams. If you’re passionate about analytics, automation, and building scalable solutions, we’d love to hear from you.Job Description • Work closely with engineering teams to design and develop data structures that enable deeper analysis., • Demonstrate expertise in the analytics engineering development cycle, including data modeling, version control, documentation, testing, and ensuring codebase best practices., • Build visually compelling, high-performance reporting and dashboards using tools like Tableau, Looker, or similar BI platforms to provide valuable insights from large datasets., • Create and optimize data models and schemas to support self-serve analytics and ensure data integrity., • Collaborate with business stakeholders to influence data-driven decision-making, proactively uncovering meaningful patterns and insights.Qualifications, • 4+ years of professional experience in analytics engineering, data engineering, or data science., • Strong understanding of data architecture, including building scalable pipelines and optimizing storage solutions for analytical workflows (e.g., S3, Redshift, Snowflake, BigQuery).Strong understanding of data engineering principles, including ETL / ELT processes., • Hands-on experience with data orchestration tools (e.g., Airflow) and data modeling frameworks (e.g., dbt)., • Proficiency in Python or a similar scripting language for data processing and analysis., • Strong expertise in SQL, including experience with data modeling and adherence to database design best practices., • Proven ability to create impactful reports and dashboards using business intelligence tools such as Tableau and Looker., • Experienced in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.Benefits, • Competitive salary, • Flexible working hours, • Supplemental health insurance, • Professional development stipend

Job DescriptionCompany DescriptionDuetti was founded by Lior Tibon, former COO of TIDAL, and Christopher Nolte, former Business Development executive at Apple Music, with the mission of getting a wide range of artists quick and easy access to catalog sales and unlocking new investment opportunities. Leveraging their experience in streaming and support from innovative music and technology investors including Flexpoint Ford, Nyca Partners, Viola Ventures, and Roc Nation, Duetti's music platform has provided over 700 artists up to $7 million per transaction. The proprietary model provides data-driven prices for established tracks, allowing artists to sell individual tracks or even parts thereof, while Duetti then markets those tracks going forward using proprietary ROI-focused techniques. With offices in New York City, Los Angeles, Miami, and London, Duetti offers a competitive benefits package, including healthcare coverage, flexible paid time off, and a hybrid work model. Duetti provides an inspiring and familial yet ambitious work environment, where your expertise and creativity will contribute to reshaping the future of artist monetization and make an immediate tangible impact on artists’ lives. Join us on this transformative journey as we reshape the financial landscape for artists. Job DescriptionWe're looking for an Analytics Engineer to join as an early member of our Data Team and help build the systems that power artist sourcing, track pricing, portfolio management, and catalog growth. This role sits at the intersection of analytics, engineering, and product with high autonomy, technical ownership, and direct business impact. You will report to the Head of Data & Analytics and help define the future of our data products. Because data fuels everything we do, the Data Team works horizontally across the entire company. While your core focus will be deal-flow optimization and catalog pricing - the core of Duetti’s business model - you’ll also collaborate with music-industry veterans, financial experts, and senior engineers and data scientists across a variety of initiatives.You Will: • Own the core models, transformations, and analytics products that drive track and catalog pricing decisions, • Partner with Finance & Management to uncover insights into catalog performance, revenue drivers, and portfolio health, • Collaborate with Data Science to refine predictive models and integrate third-party and proprietary datasets, • Work closely with Product to design internal tools, workflows, and decision support systems, • Identify and resolve data quality and pipeline issues, ensuring a reliable analytics foundation across teams, • Dive deep into streaming performance and catalog behavior to uncover optimization opportunities for acquired catalogs, • Explore and build LLM-powered internal tools that automate data workflowsRequirements, • 5+ years in analytics engineering or data analytics roles within high-growth environments, • Strong SQL & Python skills for data modeling, transformation, and automation, • Hands-on experience with BI tools (Looker, Tableau, or equivalent), • Ability to translate complex data into clear, actionable insights for technical and non-technical stakeholders, • A builder mindset: autonomous, curious, proactive, and excited to shape a fast-moving analytics stack, • Experience with music streaming data, KPIs, or creator-economy platforms (preferred but not required)

Job DescriptionHinge is the dating app designed to be deleted In today's digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all. About the Role: We are hiring a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning systems that power our core products in User Growth and Monetization. You will work on building deeply personalized user experiences that drive business growth and meet individual needs and preferences: by targeting the right users with the right products at the right time, we empower product teams to drive meaningful growth in revenue and user engagement while enhancing user satisfaction. The Growth Product Group is responsible for the development of paid features to accelerate dating outcomes, driving engagement throughout a user’s lifecycle and making Hinge the dating destination for all communities. You can expect to work on a broad range of problems, from identifying how to send the right message to the right user at the right time to optimizing the efficacy of our paid offerings. This is a fast growing team, and you will help define the vision and strategy that drives meaningful growth and accelerates machine learning at Hinge.Responsibilities: • Lead the end-to-end development of production-grade ML systems such as user targeting models that will help drive engagement, improve dating outcomes and/or improve user adoption of and engagement with paid features, • Define and own the technical roadmap for ML within your product area and align with company-wide priorities, • Collaborate closely with ML Engineers, Data Scientists, and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process, • Design, advocate, and implement for availability, scalability, operational excellence, and cost management while delivering impact to our daters incrementally, • Keep abreast of and bring to Hinge applicable cutting-edge research, technologies, and best practices in the ML/AI space., • Mentor and educate ML Engineers on current and up and coming research, technologies and best practices of doing ML at scale., • Ensure the ethical and responsible use of ML/AI and compliance with privacy regulations to protect user data, • Communicate effectively to audiences of various technical and non-technical backgroundsWhat We're Looking For:, • Strong programming skills: Proficiency in Python and ML libraries such as PyTorch, • Domain expertise: Deep understanding of machine learning, deep learning, and emerging AI technologies. Proven track record of building, debugging, and fine-tuning machine learning for user facing products. Experience with causal inference, uplift modeling, and interventional data collection is a plus., • System design & architecture: Strong background in setting up and optimizing ML infrastructure, including containerization (Docker), orchestration (Kubernetes), and CI/CD workflows for ML (e.g., model versioning, automated testing)., • Cloud platform proficiency: The ability to utilize cloud environments such as GCP, AWS, or Azure. Familiarity with ML serving solutions like Ray, KubeFlow, or Weights & Biases is a plus., • Data engineering knowledge: Skills in handling and managing large datasets including data cleaning, preprocessing, and storage. Good understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow., • Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and non-technical backgrounds.., • Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes., • 5+ years of experience, depending on education, as an MLE, with at least 2 years in a senior or staff-level role, • Previous experience in User Growth or Monetization, • 3+ years of experience designing and developing end-to-end, production grade ML systems, • 4+ years of experience working in a cloud environment such as GCP, AWS, Azure, • 3+ years of experience leading projects with at least 1 other team member through completion. #Hinge 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 Description Energy Engineer - Mid-level (NY) This role will be an integral part of our expanding team and services to provide commissioning, energy auditing, and retrofit services to multifamily, commercial, institutional, cultural/art center, and community center buildings in the NYC Metropolitan area and beyond. The role involves work on the NYC Accelerator Program, developed by the Mayor’s Office of Climate and Sustainability. This program provides free, personalized guidance for buildings throughout the five boroughs, with the aim of reducing city-wide building energy consumption and greenhouse gas emissions. We are looking for qualified individuals for our New York City office. The successful candidate will demonstrate the ability to complete the following tasks with the technical and interpersonal skills outlined below that will help him or her excel at USL. This posting is for a mid-level position (2-5+ years of experience). USL’s NYC office is not fully reopened due to COVID-19. These positions will require site visits but will otherwise be a work from home position, initially. This position reports to a Senior Engineer / Consultant. Primary Responsibilities for the position will include: • Perform project work for:, • Commissioning projects for new construction and existing building retrofits., • Benchmarking, energy auditing, and retro-commissioning for existing buildings., • Complete technical project work including:, • Review construction documents and provide recommendations to improve. constructability, indoor air quality, energy efficiency, and operations., • Review submittals, code requirements, and develop testing plans., • Inspect installations of building equipment., • Review and perform both central plant and terminal unit functional testing., • Perform trend analysis., • Lead development of energy savings strategies and calculations., • Review energy savings calculations of others for correctness and for adherence to incentive and clean energy financing program rules., • Provide written technical and non-technical issue log findings and reports for program compliance and ownership review., • Perform project work for the NYC Accelerator Program, • Collaborate internally across teams to collate best practices and the latest reports/case studies on high performance new construction strategies, energy efficiency technologies, and training strategies., • Assist with the analysis of large data sets for existing and new building database compilation., • Assist with the development of written technical resources for the program to convey building science technologies to industry stakeholders., • Work with internal stakeholders including project managers, energy modelers, sustainability consultants, accessibility consultants, etc., • Assume primary responsibility for the execution of small projects including project financials., • Lead communication with building owners, developers, architects, engineers, and contractors., • Train Entry Level staff members when applicable. Knowledge, Skills, and Abilities Below is a list of the minimum requirements for the position. Required industry knowledge, and skills • Bachelor’s degree in Engineering., • 2 – 5+ years of relevant and consecutive work experience. Work experience relevant to this position must include experience with HVAC systems in large multifamily or commercial buildings., • Experience conducting field inspections related to mechanical, electrical, and plumbing equipment., • Experience working with large data sets., • Experience managing small to mid-size projects., • Understand common HVAC systems and emerging high-performance alternatives. Familiarity with: • LEED Rating Systems., • Utility billing analysis and energy savings spreadsheet calculations., • Energy Code and/or ASHRAE standards., • NYC Local Laws related to energy and climate (Local Laws 84, 87, 95, and 97), • Excellent communicator and presenter able to explain complex concepts to a variety of stakeholders., • Attention to detail., • Strong oral and written communication skills., • Well-developed interpersonal skills, maturity, credibility, confidence, and integrity., • Strong time-management skills and experience managing multiple priorities at once., • Collaborative with strong focus on teamwork., • Excellent work ethic., • Self-motivated., • Passionate about optimizing MEP systems and improving the built environment. Duties, responsibilities, and activities may change at any time with or without prior notice. Physical Demands: While performing the duties of this job, the employee is regularly required to sit. The employee frequently is required to walk; use hands to type, handle or feel; reach with hands and arms; and talk or hear. The employee is occasionally required to stand. When in the field the employee must frequently lift or move objects up to 20 pounds; must be able to climb stairs and endure typical construction site conditions. Specific vision abilities required by this job include close vision, distance vision, color vision and ability to adjust focus. Travel Required: Occasional overnight travel may be required (Less than 10%). Frequent local field visits in the Office Metro area will be necessary (estimated at 40-50%). A valid and clean driving license is required. Working Environment: Approximately half of the duties will be performed in an office environment. The remainder of the duties will be performed in the field which will involve trips to projects sites for observation and training. Performance Standards: Performance will be evaluated against this job description, competencies for this level, and mutually agreed goals Applications submitted without a cover letter will not be reviewed EQUAL EMPLOYMENT OPPORTUNITY USL Technology Consulting Inc. is committed to diversity in its programming; creating a work culture and inclusive environment that is reflective of New York City demographics. USL encourages and actively recruits applicants representing dimensions of diversity that include — but are not limited to — military service, age, national origin, ethnicity, race, religion, ability, sexual orientation, gender, or political affiliation. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. Company DescriptionAt USL Technology, we are guided by a collective sense of purpose, an important differentiator in attracting talent. Performance is the only route for us to remain competitive. We appreciate and recognize our enthusiastic buy-in to our core purpose backed by a powerful sense of collective pride and a respect for individual’s/your need to grow. We are bonkers or shall be say maniacal about driving high performance, but we are also a family! We continuously strive to deliver Smart Sustainable Solutions. We are a technology, sustainability and energy engineering consulting firm that focuses on a system thinking approach on high-performance building working with building owners, architects, contractors and design engineers to help owners comply with the local laws and deeper energy retrofit implementations.At USL Technology, we are guided by a collective sense of purpose, an important differentiator in attracting talent. Performance is the only route for us to remain competitive. We appreciate and recognize our enthusiastic buy-in to our core purpose backed by a powerful sense of collective pride and a respect for individual’s/your need to grow. \r\n\r\nWe are bonkers or shall be say maniacal about driving high performance, but we are also a family!\r\n\r\nWe continuously strive to deliver Smart Sustainable Solutions. We are a technology, sustainability and energy engineering consulting firm that focuses on a system thinking approach on high-performance building working with building owners, architects, contractors and design engineers to help owners comply with the local laws and deeper energy retrofit implementations.

Job DescriptionTitle: Platform Database Engineer, Digital InfrastructureLocation: New York CityPosition: Full Time EmploymentJob Description:The Platform Database Engineer is responsible for administration, development and scaling Outfront Media Digital Operations database systems. The engineer will support technical initiatives to implement data systems for digital content delivery and digital boards’ uptime analyses. The engineer will work on ensuring timely data collection and the collected data is within required quality standards The engineer will also support all database related operations like backup, upgrade, performance tuning, recovery and failover. The engineer will be on call for 24x7 production issues..Core Responsibilities: • Design, administer, tune, and monitor production databases ensuring 24x7 operations and good performance;, • Collect, analyze and share data to help operations and business teams drive improvement in key business metrics;, • Utilize database and web application technologies to evaluate and develop innovative business intelligence tools and automated reports;, • Design, develop and test BI solutions such as databases, data warehouse, queries, views, reports, and dashboards;, • Assist in data conversions, imports and exports of data within and between internal and external systems;, • Manage and support development and staging database environments;, • Implement and improve backup/recovery processes, disaster recovery and failover processes;, • Troubleshoot BI tools, database systems, and overall performance;, • Interact with Business, Program Management, and Engineering on meeting ongoing reporting requirements;, • Document new and existing models, solutions and implementations;, • Strictly adhere to process, instructions, policies, and standardsRequirements:, • BS in Computer Science or information systems related field or equivalent experience, • 5+ years of operational PostgreSQL and MySQL database skills in a Linux production environment, • 3+ years of experience supporting fast growing mission critical production systems, • Knowledge of business intelligence tools and systems, • Data analysis and data mining skills, • Good Linux and shell scripting skills (PHP, Python, LAMP), • Self-starter and independent worker, • Good verbal and written communications skills, • Good documentation skills, • Experience with enterprise data warehouses a plus, • MySQL/PostgreSQL Management Certifications highly desired, • Ability to create clear step by step knowledge base documents for NOC and field personnel to follow and resolve known issues, • Participate in 24x7 on call rotations

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The OpportunityAs a Computational Materials Scientist, you will be engaging in critical simulations and modeling for materials discovery, development, and characterization. Your expertise with ab-initio calculations, DFT, and other forms of computational and theory-based modeling will be crucial to our AI-driven discovery process. You will work with leading AI scientists who depend on you to assist in data aggregation, data generation, materials simulation and model development. You will draw on a robust background in computational chemistry, software development, and machine learning. You will be responsible for running AI-enabled computational workflows for materials discovery, serving as a critical resource to the ML and materials research teams.About you • PhD degree in Chemistry, Materials Science, Computational Chemistry, Chemical Engineering, or another related subject., • Strong research experience (e.g., evidenced by publication record), including experience in computational modeling, utilizing ab-initio methods, and coarse-graining potentials for multiscale simulations of atomistic systems., • Understanding of the fundamental mechanics of metals and how to model them computationally., • Experience running high-throughput DFT., • Experience with interatomic potentials., • Chemistry software development experience (preferably public on e.g. GitHub, please share links to high impact pull request)., • Experience coding in Python or other similar languages.Pluses, • Running high-throughput DFT workflows at the order of 5,000+ concurrent jobs., • Prior experience in transitioning AI + computational research into production environments., • Experience with additional ICME approaches (e.g., mechanistic structure-property modeling, Phase Field, CALPHAD, Atomistics, Molecular statics/dynamics, etc.)., • Experience with FEM software tools (e.g., ANSYS, ABAQUS, MOOSE, PRISMS). Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods to discover trading signals and effectively combine them into market-neutral portfolios. We are looking for data scientists, physicists, engineers, economists and programmers to develop the next generation of machine learning strategies that can accurately predict the future movements of liquid financial assets. Our Quantitative Researchers are embedded within the following teams: Alpha Researcher: As a member of the Alpha Researcher team, you will be involved in developing market-neutral signals, parsing and analyzing large data sets and collaborating with the Data and Strategy Research team to build a diverse set of predictive models. Data Scientist: As a member of the Data Science team, you will be involved in parsing and analyzing large data sets, working on discovering and obtaining new sources of data and collaborating with the Alpha and Strategy team to build predictive machine learning models. Strategy Researcher: As a member of the Strategy team, you will be developing systematic strategies based on a variety of machine learning and statistical methods. The data you train and validate comes from actual market trading When you apply for a Quantitative Researcher role at Trexquant, we will first assess you on the core skills required for the Quantitative Researcher. During the interview process, we will be able to get to know you better, learn about your strengths and match you to the best research team that closely aligns with your skills and preference. Your Responsibilities: • Design, implement, and optimize various machine learning models aimed at predicting liquid assets using a wide set of financial data and a vast library of trading signals, • Parse data sets to be used for future alpha(strategy) development, • Investigate and implement state-of-the-art academic research in the field of quantitative finance, • BS/MS/PhD degree in any stem field, • Passion for machine learning, • Fluent with programming languages like Python, • Strong problem-solving skills, • Ability to work effectively both as an individual and a team player, • Knowledge of financial accounting is a plus, • Competitive salary plus bonus based on individual and company performance, • Collaborative, casual, and friendly work environment, • PPO Health, dental and vision insurance premiums fully covered for you and your dependents, • Pre-tax commuter benefits, • Weekly company meals Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026. The base salary for this role is $120,000 to $150,000, and will be determined based on the candidate’s educational background and professional experience. Base salary is one component of Trexquant’s total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer

Job DescriptionWhy Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Scientist at Prizeout, you’ll work with the rich transaction and product data that powers CashBack+ and our credit union rewards ecosystem. You will use the data to build recommendation and prediction models to help match customers with the right products and improve the customer journey and ecosystem.What You'll Do • Translate raw data into meaningful insights and productionalized data products, • Build and maintain scalable, interpretable user prediction models that drive product value, • Build and own user content recommendation models that drive user engagement, • Develop and maintain risk models that drive product safety and business value, • Collaborate with Engineering, Analytics, Data Engineering, Product, and Operations teams to refine models and drive value, • Stay current on AI and emerging technologies to guide modeling & engineering best-practicesWhat We're Looking For, • 3+ years experience in data science/modeling ideally in predictive modeling or recommender systems, • Advanced Python and SQL skills, • Experience with big data, • Ideally experience with financial/transaction data or familiarity with brand data, • Familiarity with Snowflake or similar data warehouse tools, • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns. Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. 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 Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 7+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Senior SAS Viya Developer / SAS Platform Migration Lead Experience: 10+YearsRole Overview We are seeking a Senior SAS Viya Developer / SAS Platform Migration Lead to drive large-scale SAS Enterprise Guide (EG) to SAS Viya migration initiatives for enterprise clients in the Property & Casualty Insurance domain. This role requires strong expertise in SAS programming, SAS Viya architecture, CAS processing, and data platform modernization. The individual will lead migration strategy, technical execution, and stakeholder engagement while working in a global delivery model with onshore and offshore teams. The ideal candidate will combine deep technical SAS expertise with leadership capabilities, enabling them to drive migration programs, optimize legacy code, and implement modern analytics solutions on the SAS Viya platform. Key Responsibilities SAS Platform Migration Leadership • Lead and execute SAS Enterprise Guide (EG) to SAS Viya migration programs across enterprise analytics platforms., • Assess current SAS EG codebases, workflows, and data pipelines to determine migration complexity and dependencies., • Develop migration frameworks, playbooks, and automation strategies to streamline transition to SAS Viya., • Convert legacy SAS programs to Viya-compatible architecture and optimize for CAS (Cloud Analytic Services) processing., • Analyze the existing SAS EG environment, processes, and infrastructure., • Develop detailed migration roadmaps, timelines, and implementation strategies., • Identify migration risks and develop mitigation strategies., • Convert SAS EG programs into Viya-compatible code and architecture., • Optimize SAS workloads for distributed CAS processing., • Integrate SAS Viya with data platforms, APIs, and enterprise systems., • Develop and execute testing frameworks for migration validation., • Conduct parallel runs and result reconciliation between EG and Viya environments., • Validate data accuracy, performance improvements, and process integrity., • Work closely with client stakeholders, architects, and data teams to ensure business requirements are met., • Provide technical advisory on SAS modernization strategies., • Lead and mentor onshore and offshore SAS engineering teams., • Coordinate development tasks across dual-shore delivery models., • Conduct code reviews, technical governance, and best practice enforcement., • Develop migration documentation, best practices, and operational guides., • Create training materials for teams transitioning to SAS Viya., • Monitor post-migration performance and system stability., • Identify opportunities to optimize SAS workloads and analytics pipelines. SAS Technologies • SAS Base Programming, • SAS Enterprise Guide (EG), • SAS Viya Platform, • SAS Studio, • SAS Visual Analytics, • Data modelling and data architecture, • ETL and data pipeline development, • Performance optimization for analytics workloads, • Git / version control systems, • CI/CD pipeline integration, • Experience with AWS, Azure, or GCP environments, • Strong understanding of Property & Casualty (P&C) Insurance analytics., • Experience supporting actuarial, underwriting, risk modeling, or pricing analytics is highly preferred., • Strong analytical and problem-solving capabilities, • Excellent stakeholder communication skills, • Ability to lead cross-functional global teams, • Experience managing client-facing engagements, • Strong project planning and execution abilities, • 10+ years of experience in SAS programming and analytics platform development., • Hands-on expertise in SAS Enterprise Guide and SAS Viya environments., • Experience leading SAS platform modernization or migration initiatives., • Demonstrated ability to work with global onshore/offshore delivery teams., • Experience working directly with enterprise clients and business stakeholders. Bachelor's or Master's degree in one of the following: • Computer Science, • Statistics, • Data Science, • Engineering, • Mathematics, • SAS Certifications (Base SAS, Advanced SAS, SAS Viya), • Experience with Python or R for advanced analytics, • Experience with Agile / Scrum delivery models, • Previous experience leading large-scale analytics platform migrations, • Full-time position, • Hybrid work model (US / Canada locations), • Collaboration with global delivery teams, • Occasional travel may be required for client engagements

Job Description About the Role We are seeking an experienced AEM Technical Lead to join our growing Digital Solutions team. This role supports Adobe Experience Manager environments for enterprise-grade digital experiences. You will be responsible for implementing CI/CD pipelines, automating infrastructure, supporting containerized services, and guiding teams on AEM cloud best practices and web operations. You should be adept at working in fast-paced environments, leading technical operations, and managing high-availability infrastructure for content-driven digital platforms. Strong communication, systems thinking, and a passion for automation and operational excellence are essential. We are looking for candidates who can do 1 day per week in office. Possible locations are Tampa, Charlotte, New York, New Jersey and Mississauga, Ontario. Key Responsibilities * Design, implement, and maintain CI/CD pipelines and environment automation using Jenkins, GitHub Actions, Terraform, and Ansible * Manage and operate AEM as a Cloud Service environments including provisioning, configuration, deployment, and troubleshooting * Configure, monitor, and support Apache web servers and AEM Dispatcher setups * Build and manage containerized services using Docker and Kubernetes across development, staging, and production * Guide internal and external teams on performance optimization and operational best practices for AEM * Lead infrastructure builds for high-availability production environments on AWS, GCP, or Azure * Automate operational tasks and enhance deployment workflows using Bash, Python, and Groovy * Monitor site uptime and performance using tools like New Relic, Datadog, and Splunk * Maintain operational documentation including DR runbooks and infrastructure diagrams * Participate in incident response and on-call support rotation Required Qualifications * Bachelor’s degree in Computer Science or related field, or equivalent work experience * 5-7 years in DevOps or web operations roles with AEM (v6.5), including AEMaaCS * Experience with AEM migrations, Apache server, and Dispatcher configuration * Experience with configuring/maintaining CDN/WAF, Adobe Enhanced Security * Strong experience with Docker and Kubernetes in production environments * Proficient with Terraform, Ansible, Jenkins, and GitHub Actions * Solid Linux/Unix administration experience * Strong scripting proficiency in Python, Bash, or Shell * Familiarity with observability and monitoring tools (e.g., Splunk, AppDynamics) * Understanding of load balancing, clustering, and high-availability architecture Preferred Qualifications * Adobe Certified Expert: AEM Sites DevOps Engineer or Architect * Experience with Adobe Cloud Manager, Adobe I/O, and AEM Brand Portal * Familiarity with virtualization tools such as VMware or Vagrant * Exposure to PHP-based platforms and hybrid infrastructure models Preferred Tools & Technology Stack * Adobe Experience Manager (AEMaaCS), Apache HTTPD, AEM Dispatcher * Adobe Cloud Manager, GitHub Actions, Jenkins * Docker, Kubernetes, Terraform, Ansible * New Relic, Datadog, Splunk * AWS, Azure, GCP * Bash, Python, Groovy Scripting * CDN/WAF, Fastly Nice to Have Qualifications * Adobe Commerce Certifications - Adobe Certified Expert * 5+ years of experience Adobe Commerce development * 3+ years of experience working on Adobe Commerce enterprise solutions About Blue Acorn iCi Blue Acorn iCi, a business unit of Infosys Nova Holdings, LLC, is a digital experience partner helping global brands design, build, and optimize the future of customer engagement. We blend data, design, and technology to deliver connected commerce and content solutions that drive measurable results. Specializing in the Adobe Experience Cloud, we provide end-to-end services across commerce, content, analytics, and customer insights. Backed by Infosys, we’re growing fast—and we’re looking for exceptional talent to grow with us. Our teams work at the intersection of strategy and execution—solving complex challenges for industry leaders in healthcare, retail, manufacturing, and beyond. From large-scale digital transformation programs to platform implementations and ongoing optimization, we bring deep expertise and a collaborative mindset to every engagement. Why Join Us? Blue Acorn iCi is a place for curious thinkers, smart builders, and digital pioneers. We’re more than a consultancy—we’re a team of innovators helping the world’s top brands shape the future of digital. Here, you won’t just contribute to a project—you’ll drive meaningful outcomes, collaborate with cross-disciplinary teams, and grow your skills in a high-impact, high-growth environment. We believe great work starts with great people, and we’re committed to creating a culture where talent thrives, ideas spark change, and results speak for themselves. If you’re ready to push boundaries, deliver real value, and help shape the next generation of digital experiences—this is your place. Full Time, Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and vision insurance, life insurance, disability, paid time off, 401(k), and more! Blue Acorn iCi is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability. Please click to read EEO Law and Pay Transparency Act and IER Right to Work Document and Privacy Notice. Blue Acorn iCi will endeavor to make a reasonable accommodation to the known physical or mental limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete this form or to participate in an interview, please contact us at: . California applicants: Please click here for CCPA disclosures. Powered by JazzHR RFjzcMK0WC

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at Summary CoreWeave is seeking a Sr. Data Scientist to architect and scale the data infrastructure that serves as the backbone of our Integrated Planning and Capacity teams. As an AI hyperscaler, our ability to manage GPU, CPU, and storage assets in real-time is the difference between leading the market and falling behind. Currently, our systems are in a nascent, "bare minimum" stage. You will be responsible for leading the transition to a centralized, production-grade database system. This is a heavy software engineering-focused role where you will build the pipelines and transformations necessary to unify disparate metrics—ranging from power utilization and node health to customer capacity allocation data—into a single, accurate source of truth. Your work will directly enable the dashboards used by operational planners and executives, and provide the high-fidelity data required to develop autonomous, data-based agents for quantitative decision-making. Key Responsibilities • Architect Scalable Pipelines: Design, build, and maintain robust end-to-end data pipelines and transformations that aggregate data from across the organization, including data center operations, power metrics, node provisioning, and finance., • Enable Advanced Analytics: Build and optimize the data structures that power real-time and near-real-time dashboards for operational capacity and demand managers., • Support AI Agent Development: Ensure that data pipelines are architected to support the ongoing development of quantitative AI agents designed to synthesize complex data and inform high-stakes infrastructure decisions., • Cross-Functional Synthesis: Partner with Data Center Operations, Supply Chain, Product, and Finance to ensure technical pipelines accurately reflect the physical realities of data center bring-up and node health., • Education: Master's or PhD in Computer Science, Computer Engineering, Operations Research, or a related quantitative field., • Experience: 6+ years of professional experience in data engineering or data science, with a heavy emphasis on building production-grade planning systems (ERP, MRP, or similar operations tools)., • Software Engineering Expertise: Expert-level proficiency in Python and SQL is mandatory. Experience with modern data stack tools (e.g., dbt, Airflow, Snowflake/BigQuery) and software development best practices (version control, CI/CD)., • Systems Thinking: Proven track record of taking "weak" or unstructured data environments and scaling them into robust, automated architectures., • Domain Knowledge: Familiarity with AI infrastructure, specifically GPU/CPU utilization metrics and data center operational constraints., • Background: Prior experience in high-complexity environments such as cloud infrastructure, semiconductor manufacturing, or advanced logistics. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description Location: New York / Hong Kong / Shanghai / Shenzhen / Beijing Function: Quantitative Research About the Role We are partnering with a rapidly growing, research-driven quantitative investment fund with a global footprint. The fund specializes in high- and mid-frequency trading strategies across equities and futures markets. Researchers play a central role in driving alpha discovery, end-to-end model development, and strategy optimization within a lean and highly collaborative environment. This is an opportunity for someone who wants full ownership of the research lifecycle, access to diverse datasets, and the chance to make a direct impact on trading strategies in a platform that values intellectual rigor and innovation. Responsibilities * Conduct quantitative research to identify alpha signals across equity and futures markets. * Build, test, and optimize statistical and machine learning models for trading strategies. * Analyze large, diverse datasets and extract actionable insights for mid- to high-frequency domains. * Collaborate closely with a research-focused team to drive the implementation of new models and strategies. * Stay at the forefront of academic research and translate it into practical trading applications. Requirements * Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or related quantitative field. * Proficiency in 1 programming language: Python (preferred), C++, MATLAB, R, or C#. * Strong analytical skills, intellectual curiosity, and structured problem-solving capability. * Ability to synthesize academic research and apply it to practical quantitative problems. Preferred Qualifications * Competition awards (e.g., IMO, IPhO, ACM-ICPC) or top-tier academic achievements. * Publications in peer-reviewed journals or conferences in relevant fields. * Prior experience in quantitative research, trading, or data-intensive environments is a plus. Why This Role? * Research Ownership: Lead projects end-to-end, from alpha discovery to strategy deployment. * Global Exposure: Work with a team across US and Asia offices. * Innovation-First: Access to diverse datasets and a culture of continuous R&D. * Career Growth: Lean teams allow high-impact contributions early in your career.

Job DescriptionAbout CookUnity: Food has lost its soul to modern convenience. And with it, it has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. The role: We're looking for a Senior Manager, Data Science/ML who will drive CookUnity's next phase of product innovation through forward-looking data science capabilities. This role goes beyond traditional analytics—you'll be responsible for building the ML and experimentation foundation that enables personalized, intelligent product experiences at scale. As Senior Manager, you'll own the strategic vision for how data science shapes our product roadmap. You'll build and lead a team focused on predictive modeling, personalization, experimentation frameworks, and emerging ML capabilities that directly impact customer engagement, retention, and lifetime value. This is a high-impact role for someone who thinks strategically about the future of product science while remaining hands-on in driving technical execution. Responsibilities:Strategic Vision & Product Partnership • Define and execute the product data science strategy, identifying opportunities where ML and predictive analytics can unlock step-change improvements in customer experience and business outcomes, • Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap with data-driven insights and forward-looking ML capabilities, • Act as a thought leader on emerging data science techniques (personalization, recommendation systems, causal inference, generative AI) and their application to product problems, • Translate complex product challenges into clear data science problems with measurable success criteria, • Own the end-to-end ML lifecycle for product use cases: problem framing, feature development, model training, deployment, monitoring, and iteration, • Partner with the Growth Data Science & Analytics team to align experimentation, measurement, and modeling efforts into a cohesive end-to-end data science ecosystem.Team Leadership & Development, • Build, mentor, and scale a high-performing product data science team capable of delivering both strategic insights and production ML systems, • Foster a culture of innovation, experimentation, and continuous learning within the data science organization, • Create career development pathways that attract and retain top data science talent, • Collaborate with Analytics Engineering to ensure seamless model deployment and monitoringAdvanced Analytics & ML Capabilities, • Own and evolve personalization and recommendation systems that drive engagement and conversion across the customer journey, • Design and implement robust experimentation frameworks that enable rapid, high-quality product testing and learning, • Develop causal inference methodologies to understand true incrementality of product changes., • Ensure models are observable, explainable where needed, and continuously improved post-launchProduct Measurement & Impact, • Define product success metrics and measurement frameworks that align with business objectives, • Build scalable dashboards and monitoring systems that provide real-time visibility into product performance, • Conduct deep-dive analyses on user behavior patterns to uncover opportunities for product optimizationQualifications:, • 8+ years of experience in data science, with at least 3 years in leadership roles managing data scientists or ML engineers, • Proven track record building and deploying ML models in production, particularly in personalization, recommendation systems, or predictive modeling, • Deep expertise in experimentation and causal inference, including A/B testing, incrementality measurement, and statistical rigor, • Strong product sense and business acumen—ability to identify high-impact opportunities and translate them into data science initiatives, • Experience in consumer tech, e-commerce, or marketplace businesses where personalization and user engagement are critical, • Excellent communication skills—ability to explain complex technical concepts to non-technical stakeholders and influence product strategy, • Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow), • Experience with cloud-based data infrastructure (AWS, GCP, Snowflake) and ML Ops tools (MLflow, Airflow, Kubeflow)Preferred requirements:, • PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field, • Experience with real-time ML systems and feature stores, • Background in recommendation systems or two-tower/multi-modal embeddings, • Familiarity with generative AI and LLM applications in product contexts, • Experience building data science teams from scratch or through periods of rapid growth, • Prior work in subscription businesses or retention-focused products, • Knowledge of modern product analytics tools (Amplitude, MixPanel, Looker)What Success Looks Like, • 6 months: Established product data science roadmap aligned with business priorities; shipped at least one high-impact ML model to production; built strong partnerships with Product and Engineering leadership We hope this provides valuable insight into our culture and product vision. If this excites you, we'd love to connect! Benefits 🩺 Health Insurance coverage 🌅 401k Plan 📈 We grow, you grow: Stock Options Plan granted on Day 1 🌟 Eligible for a bi-annual performance bonus ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🚀 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$225,000—$240,000 USD If you're interested in this role, please submit your application, and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability. A quick note for all candidates We've recently seen an increase in recruitment scams across the industry, and we want to make sure you (and your data) stay safe while applying to CookUnity. We also want you to know that we take this seriously — sometimes, as part of our process, we may ask for a brief "proof of humanity" to confirm that we're connecting with a real person, not an impersonator. Here are a few tips to help you protect yourself and know what to expect from us: • Apply only through our official channels. All open roles are listed on our official careers page: careers.cookunity.com, • Our recruiters are real people — and easy to verify. You can always find them on LinkedIn with verified profiles. If you're unsure, feel free to reach out to us on our official LinkedIn Company Page., • We only communicate through official CookUnity channels. That means emails ending in @cookunity.com and interviews held through official company platforms (Google Meet or Zoom) — never WhatsApp, Telegram, or SMS.

Job DescriptionDescription Who We Are: APC is a dynamic, growing international delivery and technology solutions provider. Established in 2001, APC has been simplifying international delivery for over 20 years, helping U.S. businesses build brands abroad, expand their consumer base, increase revenue, and their global reach. Our extensive, reliable worldwide delivery network and proprietary technology empower our brands to succeed. We are committed to expanding our footprint and continuously investing in innovative delivery and technology solutions as we aim to be the leading resource for cross-border solutions. About the Role: Reporting to the Head of Technology, the Data Architect / Lead Data Engineer will own the design, implementation, scalability, and business impact of APC’s data platform supporting a high‑volume, complex logistics operation. This is a hands‑on, senior technical role responsible for shaping how data flows from raw operational systems through trusted analytics and into production‑grade models that drive decision‑making across the business. You will lead the evolution of the data stack end‑to‑end, balancing architectural rigor with real‑world constraints such as imperfect data, operational urgency, and cost efficiency. Partnering closely with engineering, product, operations, finance, and leadership, you will translate complex business questions into durable data solutions that directly impact shipment performance, customer experience, pricing, and profitability. This role is well‑suited for someone who enjoys deep technical ownership, cross‑functional collaboration, and building systems that operate at scale in production environments. About the Candidate:You are a hands‑on, systems‑oriented data leader who enjoys working close to the business and taking ownership of complex, real‑world data challenges. You are comfortable operating at the intersection of architecture, engineering, analytics, and applied data science, and you thrive in environments where data is imperfect, scale is real, and impact is tangible. You bring a strong sense of accountability and technical judgment, with the ability to make thoughtful tradeoffs and move initiatives forward. You communicate clearly with both technical and non‑technical partners, build trust through reliability and transparency, and enjoy mentoring others while setting a high bar for data quality and engineering discipline. Key ResponsibilitiesData Platform & Warehouse Leadership • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts.Analytics Engineering & Business Enablement, • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust.Applied Data Science & Advanced Analytics, • Develop and product-ionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Own the architecture, scalability, performance, and cost efficiency of the enterprise data warehouse and analytics platform., • Design and maintain dimensional and analytical data models supporting core logistics and financial use cases, including shipments, customs data, carrier performance, SLAs, revenue, and margins., • Establish and enforce best practices for data modeling, schema evolution, data quality monitoring, lineage, documentation, and cost governance., • Lead data platform migrations, upgrades, and modernization initiatives as needed., • Design, build, and operate reliable, observable ELT/ETL pipelines from internal systems, third-party APIs, and event streams, including change data capture where required., • Ensure pipeline resilience through strong handling of data freshness, schema drift, backfills, reprocessing, and failure recovery., • Integrate data across core operational platforms, including OMS, WMS, TMS, payments, CRM, and marketing systems., • Partner with application and platform engineers on event design, instrumentation, and data contracts., • Build and maintain trusted semantic layers, metrics definitions, and curated data marts for analytics, operations, finance, and executive reporting., • Define and operationalize canonical KPIs across shipment performance, carrier reliability, exceptions, margins, and customer lifecycle metrics., • Enable governed self-service analytics while preserving data accuracy, consistency, and trust., • Develop and productionize analytical models for forecasting, operational optimization, anomaly detection, and customer behavior analysis., • Design experiments and analyses with clear business impact and measurable ROI, and operationalize outputs into dashboards or workflows., • Serve as technical owner for data architecture, tooling selection, and platform standards., • Mentor engineers and analysts, lead design reviews, and set pragmatic standards balancing speed, reliability, and cost. Skills, Knowledge and Expertise • 8+ years of experience in data engineering, analytics engineering, or applied data science roles, with demonstrated ownership of production data systems., • Proven experience designing and operating a scalable data warehouse or analytics platform in a production environment., • Advanced SQL expertise, including query optimization, indexing and partitioning strategies, dimensional modeling, and slowly changing dimensions., • Strong experience building and maintaining data pipelines using modern data tooling and orchestration frameworks., • Proficiency in Python or a similar language for data processing, modeling, and automation., • Experience working with large‑scale, high‑volume operational datasets and managing data quality in real‑world conditions., • Strong systems thinking and the ability to design for reliability, performance, and cost control., • Demonstrated ability to translate business problems into effective technical solutions., • Experience in logistics, e‑commerce, supply chain, fulfillment, or adjacent domains is strongly preferred. Core Competencies Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiencesManages Complexity: Making sense of complex, high quantity, and sometimes contradictory informationBusiness Insight: Applying knowledge of business goals and the marketplace to advance the organization’s goalsFinancial Acumen: Interpreting and applying understanding of key financial indicators to make better business decisions

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. While we are mostly a remote company, travel is required for some team meetings and cross function projects typically once per month or once per quarter, for some roles like sales or external facing roles travel could be up to 90% of the time. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range., • Base Salary: $186,000 - $212,000 Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly

Job Description UNIVERSAL Technologies is seeking an experienced Oracle Fusion Reporting & Analytics Developer for an onsite role for the first 90 days in Long Island City, NY, may change to hybrid after. The right candidate will support enterprise-wide reporting, analytics, and data intelligence initiatives. This role is responsible for designing, developing, and modernizing reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI), and Autonomous Data Warehouse (ADW) while partnering closely with business stakeholders, data teams, and IT leadership. The ideal candidate brings strong SQL/PLSQL expertise, deep knowledge of Oracle Cloud reporting frameworks, and hands-on experience modernizing legacy EBS/OBIEE reporting into cloud platforms. ***Candidate must be able to work for UNIVERSAL Technologies directly. WHO WE ARE UNIVERSAL Technologies is a certified Women-Owned Business Enterprise (WBE/MWBE) IT consulting firm with over 20 years of experience providing top-tier technology talent and solutions to government and commercial clients. We specialize in delivering high-quality IT professionals across application development, infrastructure, cybersecurity, PMO, analytics, and emerging technology domains. WHAT WE OFFER UNIVERSAL Technologies offers competitive compensation, comprehensive benefits, career development opportunities, and the chance to support large-scale, mission-critical technology projects across New York and nationwide. MANDATORY SKILLS/EXPERIENCE • Bachelor’s degree in Computer Science, Information Systems, Business, or related technical field (or equivalent experience) Oracle Fusion & Cloud Reporting • 3+ years developing Oracle Transactional Business Intelligence analyses, dashboards, and reports, • 2+ years building advanced analytics and visualizations using Oracle Analytics Cloud (OAC), • 2+ years developing reports in Oracle Analytics Server (OAS), • 4+ years creating BI Publisher templates, layouts, and data models, • 2+ years working with Fusion Data Intelligence (FDI) subject areas, pipelines, and warehouse structures Database, Data Warehouse & Integration • 2+ years working with Oracle Autonomous Data Warehouse (ADW), including SQL tuning and data modeling, • 5+ years advanced SQL/PLSQL (packages, procedures, functions, triggers) using Oracle 19c/21c, • Strong understanding of dimensional modeling, star schemas, and data warehouse concepts, • Experience with ODI or similar ETL/integration tools preferred Legacy System Modernization • Knowledge of Oracle EBS data models and custom reporting, • Experience migrating OBIEE 12c reports/dashboards to Oracle Analytics Cloud (OAC)/ Oracle Transactional Business Intelligence (OTBI), • Proven ability to refactor and modernize legacy PL/SQL reporting, • Understanding of cloud migration methodologies Technical Expertise • Strong SQL/PLSQL optimization and performance tuning, • Experience with REST APIs/web services for data integration, • Familiarity with Git/SVN for version control, • Knowledge of Oracle Cloud Infrastructure fundamentals and cloud security/role-based access controls Soft Skills • Excellent verbal and written communication skills, • Strong ability to translate business requirements into technical reporting solutions, • Ability to support, train, and interface with business users, • Strong attention to detail and process-improvement mindset, • Ability to work independently and in cross-functional teams, • Experience working in Agile/Scrum environments Preferred (Nice-to-Have) • Oracle Cloud certifications (OAC, Fusion Apps, Autonomous Data Warehouse), • Experience with Oracle Integration Cloud (OIC), • Familiarity with Oracle ERP/HCM/SCM modules, • Experience with data governance or MDM, • Knowledge of AI/ML capabilities within Oracle Analytics Cloud (OAC), • Python or R for advanced analytics SCOPE OF SERVICES • Design, develop, and maintain reporting solutions across Oracle Transactional Business Intelligence (OTBI), Oracle Analytics Cloud (OAC), Oracle Analytics Server (OAS), Fusion Data Intelligence (FDI) and, BI Publisher, • Build dashboards, visualizations, and pixel-perfect reports for operational, regulatory, and analytical needs, • Develop, enhance, and optimize data models, schemas, subject areas, and pipelines supporting enterprise reporting, • Integrate and transform data across ADW, Fusion Cloud modules (ERP/HCM/SCM), and additional data sources, • Modernize legacy reports, PL/SQL code, and OBIEE dashboards for cloud-native architectures, • Conduct performance tuning, SQL optimization, caching strategies, and aggregation enhancements, • Support business analysts and end users with training, troubleshooting, and reporting best practices, • Document technical designs, data flows, migration paths, and reporting specifications, • Ensure audit readiness, compliance, version control, and adherence to change management processes, • Participate in Agile/Scrum ceremonies; provide status updates and manage work items using standard project tools, • Collaborate with IT, data governance, analytics, and application teams to ensure data quality, consistency, and compliance UNIVERSAL Technologies is an equal opportunity employer.

Job Description Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Fusemachines Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. Position Overview We are seeking an experienced QA Engineering Lead with a background in testing machine learning (ML) web applications to join our team. Bonus: If you have worked with LLM's. The ideal candidate will lead the quality assurance efforts with a very hands-on attitude for our ML-driven projects, ensuring the highest standards of quality and reliability are met. The QA Engineering Lead will collaborate closely with cross-functional teams, mentor junior QA engineers, and drive the adoption of best practices in ML Application testing methodologies. Responsibilities • Lead the QA team in developing and implementing comprehensive test plans, test cases, and strategies specific to machine learning applications., • Drive the adoption of automated testing tools and frameworks to increase testing efficiency and coverage., • Create strategies and tests for new product features, in addition to executing regression testing of existing features., • Work with development teams to develop test plans, test suites, and test cases to ensure that the software stack is thoroughly verified and validated through manual and automated methods., • Submit, track, and verify defects through the software development lifecycle, ensuring timely resolution., • Write documents, tests, scripts, and tools to help facilitate testing and improve efficiency., • Define and establish QA metrics, measuring the effectiveness of testing processes and identifying areas for improvement., • Collaborate with product owners, machine learning engineers, and software engineers to ensure alignment on quality objectives and priorities., • Design and execute testing for ML models, including functional, performance, and scalability testing., • Mentor and provide guidance to junior QA engineers on testing methodologies and best practices., • Stay current with industry trends and advancements in ML testing techniques and tools., • Participate in release planning and deployment activities for ML-driven features, ensuring smooth integration and deployment., • Investigate and troubleshoot issues related to ML model performance or behavior, working closely with data scientists and engineers to resolve them., • Conduct functional, regression, performance, and security testing as needed., • Drive the adoption of automated testing tools and frameworks to increase testing efficiency and coverage., • Define and establish QA metrics to measure the effectiveness of testing processes and identify areas for improvement., • Participate in release planning and deployment activities, ensuring a smooth and successful release process., • Bachelor's degree in Computer Science, Engineering, or related field; or equivalent work experience., • 5 years of experience in quality assurance or software testing, with a some experience working on machine learning applications., • Familiarity with basic machine learning concepts, • Familiarity in programming languages commonly used in ML development (e.g., Python, R, etc.)., • Experience in designing and implementing effective test strategies for ML models including LLM's, • Excellent analytical and problem-solving skills, with a keen attention to detail., • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams., • Experience with Agile development methodologies is preferred., • Familiarity with LLM evaluation frameworks, • Hands-on experience with automated testing tools and frameworks (e.g., Selenium, JUnit, TestNG, etc.). Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Powered by JazzHR jsVBCScuOD

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role Charlie Health is seeking an experienced Lead Security Engineer to join our Information Security team. In this role, you will partner closely with engineering and product teams to embed secure development practices across the entire software development lifecycle (SDLC). You will be the subject matter expert on application security, guiding the business in building secure, scalable and HIPAA-compliant software solutions. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Security Integration & Guidance, • Collaborate with product and IT engineering teams to design secure applications and features., • Educate developers on secure coding practices and security testing., • Serve as a subject matter expert on internal application security and SDLC controls., • Assessment & Threat Modeling, • Conduct code reviews, threat models and risk assessments to identify and mitigate vulnerabilities early., • Perform internal penetration testing and support incident response for application-level issues., • Continuously monitor the threat landscape to proactively adjust defenses and strategies., • Tooling & Automation, • Develop and implement tools and frameworks to integrate security into CI/CD pipelines., • Work with teams to build and enforce secure SDLC controls in a fast-paced agile environment., • Own and enhance application vulnerability management and remediation processes., • Collaboration & Policy, • Lead implementation of security policies, standards and remediation processes., • Work cross-functionally to balance security risks with business objectives and product timelines., • 10+ years of experience in application security, secure software development, or related roles., • Bachelor's degree in Computer Science or related field, or equivalent experience., • Proficiency in secure coding practices and languages such as TypeScript, Node, Python, Java, C++ or similar., • Ability to contribute code changes to production applications as needed, including debugging, fixing security vulnerabilities, and collaborating with engineering teams on secure feature development., • Hands-on experience with application security tools (e.g., Burp Suite, OWASP ZAP, Fiddler)., • Deep understanding of web application vulnerabilities: XSS, CSRF, SQLi, session management, etc., • Experience implementing security in CI/CD pipelines such as GitHub Action and agile development workflows., • Familiarity with management and deployment of SAST, DAST, and SCA tooling, • Knowledge of authentication technologies (i.e. Auth0, Okta, etc) and how to securely integrate them with applications, • Strong communication skills with ability to clearly articulate risk to technical and non-technical audiences., • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/wNice to Have, • Experience with HIPAA and securing applications in healthcare environments., • OSCP, OSWE or other relevant security certifications., • Experience securing custom software collaboratively on a team., • Familiarity with AWS cloud platform., • Experience contributing to or managing bug bounty programs., • Knowledge of security standards such as SOC2, ISO 27001/2, NIST 800-53, HITRUST, or HIPAA Security Rule., • Ability to write proof-of-concept exploits and perform advanced security analysis.Benefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $180,000 and $240,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-Remote #LI-Hybrid Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job Description Who We Are Spot & Tango is an innovative pet health & wellness brand that delivers personalized meal plans on a subscription basis. Our recipes are developed by leading animal nutritionists, and are made with only real, human-grade ingredients... and nothing artificial! We have lofty goals (to make every dog in the US and Canada healthier, and every pet parent happier!) and we are looking for the right people to help us get there. This is an exciting opportunity to join a VC-backed, high-growth, e-commerce startup and have an outsized impact in an extremely fast-paced environment. Plus, you get to think about dogs all day! Who You Are We are seeking a talented and experienced Jr Software Engineer to join our growing team. We are seeking candidates with expertise primarily in React and Python. As a Jr Software Engineer at Spot & Tango, you will play a pivotal role in building scalable web applications for our customers and for internal company use. Responsibilities: • Play a role in designing and building new features for our core products, primarily using TypeScript, React, React Native, and NextJS, • QA efforts by writing integration tests and thoroughly testing code before merging, • Collaborate with cross-functional stakeholders to ensure web applications achieve their business goals, • Optimize applications for maximum performance and responsiveness, especially on mobile devices, • Troubleshoot, debug, and resolve software defects and issues, • Implement security best practices to ensure the integrity and confidentiality of user data, • Stay up-to-date with emerging technologies and industry trends, and apply them to enhance our products, • Participate in code reviews to maintain code quality and ensure compliance with coding standards, • Contribute to the development of technical documentation and knowledge sharing within the team, • BS in Computer Science, Engineering, or a related field strongly preferred, • 0-3 years of professional experience developing software, • Proficiency in NextJS and React, with a strong portfolio showcasing your work, • Experience in developing and deploying web applications, • Ability to work independently and as part of a collaborative team, • Ability to find simple solutions to complex problems, • Excellent communication skills, • Solid understanding of front-end technologies such as HTML, CSS, and TypeScript, • Experience with AWS services preferred, • Experience with version control systems (e.g., Git), • Excellent problem-solving skills and attention to detail, • Experience working in a startup environment, and familiarity with DTC (Direct-to- Consumer) business models and e-commerce is a plus, • Familiarity with RESTful APIs and third-party integrations This is a hybrid position. You must be able to commute into our office in Midtown Manhattan Monday, Wednesday, and Thursday. Spot & Tango is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job DescriptionCompany Description Be part of a global consulting powerhouse, partnering with clients on their most critical strategic transformations. We are Wavestone. Energetic, solution-driven experts who focus as much on people as on performance and growth. Hand in hand, we share a deep desire to make a positive impact. We are an ambitious firm with a worldwide reach and an ever-expanding portfolio of clients, topics, and projects. In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto. We work closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes and are committed to building lasting partnerships with our clients. Are you a true team player, living strong values? Are you a passionate learner, aiming to grow every day? Are you a driven go-getter, tackling challenges head-on? Then we could be the right fit for you. Join Wavestone and thrive in an environment that’s empowering, collaborative, and full of opportunities to turn today’s challenges into tomorrow’s solutions – contributing to one or more of our core 4 capabilities: Business Consulting | Business Strategy & Transformation, Organizational Effectiveness & Change Management, Operating Model Design & Agility, Program Leadership & Project Management, Marketing, Innovation, & Customer Experience Technology Consulting | IT Strategy & CTO Advisory, Technology Delivery, Data & Artificial Intelligence, Software & Application: Development & Integration, SAP Consulting, Insurance/Reinsurance Cybersecurity | Cyber Transformation Remediation, Cyber Defense & Recovery, Digital Identity, Audit & Incident Response, Product & Industrial Cybersecurity Sourcing & Service Optimization | Global Services Strategy, IT & Business Process Services Outsourcing, Global In-House Center Support, Services Optimization, Sourcing Program Management Read more at . Job Description As a Data & Strategy Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership. Key Responsibilities • Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation., • Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value., • Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake, Databricks, etc.)., • Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations., • Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence., • Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance., • Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings., • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level., • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.)., • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements., • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake)., • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR)., • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments., • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level., • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context. As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career. Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts. Our collaborative culture ensures that—from Day 1—you become an integral member of the Wavestone team. Qualifications • Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience., • 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role., • Demonstrated success in client-facing roles, ideally within a consulting or professional services environment., • Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow)., • Experience with cloud data platforms (Azure, AWS, GCP, Snowflake)., • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus., • Exceptional problem-solving, analytical, and communication skills., • Industry exposure: Deep experience in Insurance, Pharma, or Financial Services Additional Information Our commitment: Wavestone’s Positive Way At Wavestone, we believe our employees are our greatest ambassadors. By embodying our shared values, vision, mission, and corporate brand, you'll become a powerful force for positive change. We are united by a shared commitment to making a positive impact, no matter where we are. This is better defined by our value base, "The Positive Way," which serves as the glue that binds us together: • Energetic - A positive attitude gives energy to lead projects to success. While we may not control the circumstances, we can always choose how we respond to them., • Responsible - We act with integrity and take ownership of our decisions and actions, considering their impact around us. Benefits • 25 PTO / 6 Federal Holidays / 4 Floating Holidays, • 4 months parental leave to birthing parent / 2 months to supporting parent, • Medical / Dental / Vision coverage, • 401K Savings Plan with Company Match, • HSA/FSA, • Up to 4% bonus based on personal and company performance with room to grow as you progress in your career, • Regular Compensation increases based on performance This full-time position is based in our New York office. You must reside or be willing to relocate within commutable distance to the office. Travel requirements tend to fluctuate depends on your projects and client needs Diversity and Inclusion Wavestone seeks diversity among our team members and is an Equal Opportunity Employer. At Wavestone, we celebrate diversity and inclusion. We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks. If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this. Feel free to visit our Wavestone website and LinkedIn page to see our most trending insights!!

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview As a Senior Software Engineer - Backend & AI Infra focus, you will play a critical role in evolving CVector’s core backend platform. You will work on time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines that power our customer-facing applications and internal modeling platforms. This role is well-suited for an engineer who enjoys working close to the data and infrastructure layers, has strong architectural judgment, and is excited to operate across AI systems, databases, and distributed backend services. You will take ownership of complex systems, drive major technical migrations, and help shape how intelligence is embedded into industrial energy workflows. You will collaborate closely with product, modeling, and frontend engineers, and you will have significant influence over platform direction, reliability, and long-term scalability. Key Responsibilities As a Senior Software Engineer, you will contribute across several interconnected areas: Intelligent Systems • Map customer domains and operational workflows into effective prompts and AI system interfaces, • Design, execute, and iterate on evals for AI outputs, • Incorporate customer feedback and reinforcement signals to improve system behavior, • Refine context selection, retrieval, and trace collection to improve output quality, • Fine-tune smaller models using collected traces to reduce latency while preserving performance, • Evaluate and integrate new AI platforms and models as they become available, • Support training and deployment of large, time-series-focused modelsBackend Platform & Data Infrastructure, • Lead migrations and upgrades of our time-series data schemas and storage engines, • Upgrade and maintain PostgreSQL and related database infrastructure, • Develop and maintain data connectors for industrial and third-party systems, • Lead MQTT-based data ingestion pipeline improvements, • Transition PostgREST to GraphQL-based framework and evolve our API architecture, • Improve TigerData to next-gen time series design and simplify multi-tenant provisioning workflowsDatabase & Analytics Systems, • Optimize performance and reliability of high-volume time-series data stores, • Design and execute architecture plans for TigerData, • Augment analytical workloads using Parquet and/or Iceberg-based storage formats, • Balance real-time and historical query performance across operational and analytical use casesModeling Platform Support, • Improve and consolidate internal machine learning systems, • Enable parallelized and distributed model training workflows, • Implement message brokers and orchestration mechanisms for multi-stage learning pipelines, • Improve reproducibility, traceability, and coordination across modeling stagesReliability & Developer Experience, • Strengthen cloud infrastructure uptime, observability, and deployment reliability, • Standardize build, test, and release processes across services, • Improve developer tooling and internal platform ergonomics, • Port backend services from bun to Node.js where appropriate, • Track and improve DORA metrics (deployment frequency, lead time, change failure rate, recovery time) Our current technology stack includes Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS, and GitHub-based CI/CD workflows. A strong candidate will bring: • A relevant engineering degree or equivalent professional experience with a strong computer science foundation, • 5+ years experience building and operating production backend systems, • Strong proficiency in Python and/or TypeScript for backend development, • Experience with databases, especially PostgreSQL and time-series or analytical data stores, • Familiarity with event-driven systems, streaming data, or message brokers, • Experience designing or supporting AI/ML systems in production is a strong plus, • Comfort working on infrastructure, data pipelines, and evolving system architectures, • Strong communication skills and the ability to collaborate in a high-ownership environment, • Experience working in a startup or fast-moving product organization, • Willingness to travel occasionally to customer sites to understand real-world constraints CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable The anticipated base salary range for this role is $125,000 to $150,000. Why This Role Matters at CVector This role sits at the intersection of AI systems, time-series data, and real-world energy infrastructure. Your work will directly impact system reliability, customer trust, and CVector’s ability to scale intelligent energy management across industries. If you enjoy solving deep backend problems, shaping platform foundations, and embedding intelligence into physical systems, this role offers both technical challenge and real-world impact.

Job Description StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we're here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines. StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success. You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying generative AI solutions within our product. You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there's a high performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g. causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader of this team, you will be in charge of shaping and materializing that vision. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA What You'll Do • Technical project scoping and planning, • Partner with cross-functional stakeholders across the business, executives, and data team, • Technical review and architecture oversight, • Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc, • 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment, • 8 - 10 years of experience managing high performant data science team., • Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels), • Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow, • Nice to Haves, • Worked at a consumer tech company, • Experience with GenAI/LLM/Agentic workflows in a production setting, • Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact., • Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed., • Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options. The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate's qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub's total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits. Salary Range$300,000—$400,000 USDAbout UsStubHub is the world's leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world -- from sports to music, comedy to dance, festivals to theater -- StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front-row seat to the action. For California Residents: California Job Applicant Privacy Notice found hereWe are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.

Job DescriptionCompany Description NIQ is the world’s leading consumer intelligence company, helping brands and advertisers understand what people buy, watch, and engage with. MRI‑Simmons, a division within NIQ, runs one of the most comprehensive and detailed consumer insights studies in the U.S., collecting thousands of data attributes from 50,000+ respondents annually. Our Consumer Canvas product takes this data even further — mapping it to the broader U.S. population (250M+ adults) and enabling advanced audience targeting through partners like The Trade Desk, LiveRamp, TransUnion, and more. We are expanding our architecture team to drive the next evolution of Canvas — identity resolution, data enrichment, privacy‑first design, and scalable activation pipelines. Job Description We are seeking a Data Architect to own and evolve the end‑to‑end architecture behind the Consumer Canvas platform. You will work across Snowflake, Databricks, identity systems, ingestion pipelines, and activation layers — ensuring our data is scalable, secure, privacy‑compliant, and highly performant. You will partner closely with Data Engineering, Data Science, Machine Learning, and Product teams to build next‑gen solutions that power the future of consumer insights and advertising activation. This is not a migration or maintenance role — it is a strategic influence position with the opportunity to architect new systems, components, and methodologies from the ground up • Own the end-to-end architecture of the Consumer Canvas product., • Design systems across ingestion, identity spine creation, enrichment, governance, and activation workflows., • Collaborate with cross-functional partners (Data Scientists, ML Engineers, Data Engineers, Product Owners)., • Define and enforce PII governance, privacy controls, and security best practices., • Translate complex business and technical requirements into scalable architecture., • Support technical teams with architectural guidance and model/structure design., • Participate directly in design, prototyping, and testing cycles within an Agile environment., • Act as a senior technical thought partner, providing mentorship (non‑manager role).Qualifications Must‑Have Skills • 5+ years of experience in Data Architecture or related technical leadership roles., • Hands-on experience with Snowflake (including Data Clean Rooms) and/or Databricks., • Strong SQL and experience with Python, PySpark, and Spark., • Proven experience working with PII data, privacy constraints, and governance frameworks (critical & non‑negotiable)., • Data modeling expertise (conceptual, logical, physical)., • Experience designing scalable data pipelines and cloud-native architectures., • Experience in Ad-Tech, Martech, Media, Consumer Data, or Identity Ecosystems, • Familiarity with Medallion Architecture (Bronze/Silver/Gold)., • Azure services (ADF, Azure Data Lake, Azure DevOps)., • Containers & orchestration (Docker, Kubernetes)., • Bachelor’s degree in Computer Science, Engineering, or a related field required., • Master's degree or certifications (SnowPro, Azure Data Engineer) are a plus., • A strategic thinker who enjoys architecting new systems, not just migrating old ones., • Passionate about privacy-first data design and operational excellence., • Skilled at turning ambiguous requirements into elegant architectures., • Excited by large-scale audience data (hundreds of millions of profiles)., • Comfortable navigating complex stakeholder environments. Additional Information Why Join NIQ? • Build one of the most influential consumer identity data architectures in the U.S., • Work with cutting-edge cloud technologies (Snowflake, Databricks, identity graph frameworks)., • Be part of an innovative team pushing the boundaries of consumer analytics and ad-tech., • Flexible, fully remote work environment. Our Benefits • Flexible working environment, • Volunteer time off, • LinkedIn Learning About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns and manages a portfolio of more than 27,000 apartments across 28 states. As an integrated owner, operator, and innovator, Fairstead brings development, construction, and property management under one unified platform to deliver high-quality affordable housing that serves our residents at scale. At Fairstead, we believe affordable housing should be thoughtfully designed, professionally managed, and responsibly operated. We seek to create and preserve housing that serves residents while delivering long-term value to communities, partners, and stakeholders. Fairstead challenges industry norms through our tech-forward, entrepreneurial approach to affordable housing. In addition to core real estate capabilities, we operate innovative service lines designed to improve resident outcomes, strengthen communities, and drive operational efficiency. We embrace digital transformation, data-driven decision-making, and emerging technologies, including AI, to build scalable systems that support sustainable growth, grounded in a culture of entrepreneurship, innovation, partnership, dedication, and integrity. The Senior Full Stack Engineer, IoT will design, build, and own the end-to-end technology stack powering Fairstead's IoT platform — a proprietary system that connects sensors in our buildings to the data infrastructure that drives operational decisions across the portfolio. This role spans every layer of the stack: from device firmware and network configuration through message brokering and data normalization to storage, analytics, and user-facing applications. This is a foundational hire. Fairstead is building its IoT capability in-house to gain full visibility and control over its technology stack. The Senior Full Stack Engineer will be the technical lead responsible for architecting this platform — designing a modern, open-standards-based infrastructure that Fairstead owns and operates. The work starts with a live pilot and scales to a portfolio of 27,000+ apartments across 28 states. Beyond IoT, this role will help shape Fairstead's broader digital strategy, including integration with property management systems and other enterprise platforms. Responsibilities: • Architect and build Fairstead's proprietary IoT data pipeline from sensor to database — including LoRaWAN network server management, MQTT message brokering, event streaming, data normalization, and persistent storage, • Own the full stack: firmware configuration, network layer, ingestion layer, normalization layer, application layer, and data platform, • Design and implement a normalization framework that is device-agnostic and supports multiple IoT use cases (e.g., leak detection, air quality monitoring, submetering) without requiring schema changes, • Build and maintain application services, APIs, dashboards, and monitoring tools that surface IoT data to operations teams, • Evaluate build-vs-buy decisions across the stack, with a bias toward open protocols, portable data formats, and long-term flexibility, • Manage phased insourcing of platform capabilities — including data migration, device provisioning, and coordination with existing vendor partners during transition periods, • Establish end-to-end observability — monitoring device health, network performance, message delivery, and data integrity across every layer, • Integrate IoT systems with Fairstead's property management stack and other enterprise platforms, • 7+ years of professional software engineering experience spanning backend, frontend, and infrastructure, • Hands-on experience building IoT or connected-device systems — from the hardware/firmware layer through cloud infrastructure and user-facing applications, • Strong working knowledge of LoRaWAN, MQTT, and related IoT communication protocols, • Experience with message brokers and event streaming platforms (e.g., Kafka), • Proficiency in TypeScript/JavaScript and Python; familiarity with additional systems languages (C/C++, Go, Rust) is a plus, • Experience with PostgreSQL or similar relational databases; familiarity with time-series data patterns, • Comfortable with containerized deployments (Docker, Kubernetes) and cloud infrastructure (Azure preferred), • Experience with monitoring and observability tools (e.g., Grafana, Prometheus, Loki), • Familiarity with LoRaWAN network server platforms (e.g., ChirpStack) is strongly preferred, • Strong understanding of data pipeline architecture — ingestion, transformation, storage, and serving, • Demonstrated ability to work autonomously and make high-judgment technical decisions in ambiguous, early-stage environments, • Comfortable leveraging AI-assisted development tools and open to incorporating AI/ML capabilities into the platform over time, • Bachelor's degree in Computer Science, • Prior experience in smart building, proptech, or multifamily IoT companies (e.g., SmartRent, StratIS IoT, Quext, Rently, RealPage, Yardi, or similar), • Experience designing systems with explicit auditability requirements — traceable data handoffs, structured logging, and clear ownership boundaries between layers Salary Range$125,000—$185,000 USD Diversity in backgrounds and experiences is key to Fairstead's success. Being an equal opportunity employer is a central tenet of our philosophy that shapes who we are and the communities we serve. Our goal is to ensure competitive total compensation that is commensurate with experience, location, and other market benchmarks. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at