Trabajos data scientist en Bayonne, New JerseyCrear alertas

Senior Manager, MED RWE/Epi Scientist Role Summary The Senior Manager, RWE/Epi Scientist, position within Medical Evidence Development (MED) Real-World Evidence & Epidemiology (RWE/Epi) provides an opportunity for a collaborative epidemiologist to support real-world evidence and epidemiologic studies as part of Medical strategy across the entire drug development process. The candidate will be responsible for synthesizing the literature and contributing to the design, conduct and reporting of global epidemiologic research studies on Pfizer I&I products. The Senior Manager will also be accountable for the quality, timeliness, and efficiency of all RWE/Epi deliverables in assigned product/disease area, and maintain an internal network of Pfizer stakeholders to cultivate innovation, cross-functional collaboration, and identify new opportunities for RWE/Epi to increase the value of Pfizer assets. The candidate will develop external partnerships to leverage data resources and collaboration on high priority global studies. Responsibilities include authoring and reviewing study protocols, reports, and presentations, as well as communication in writing and presentations to internal stakeholders, regulatory authorities, and medical professionals. The candidate will also be responsible for non-study deliverables such as RWE insights, epidemiology literature reviews, regulatory responses, and department initiatives. This position will report directly to the Hem-Onc Team Lead in RWE/Epi. Capabilities * Skill and experience identifying, designing and supporting or leading real-world evidence studies of disease epidemiology and effectiveness as part of the global cross-functional Integrated Evidence Plan. * Maintain knowledge and awareness of internal and external data resources and identify appropriate studies for addressing questions of interest, recognizing the limitations and strengths of various design options and data sources * Partner with Chief Medical Office colleagues to address asset team evidence needs and support global regulatory submissions to the FDA, EMA and other agencies. * Deliver rapid insights from real-world, observational data source * Develop and deliver presentations, webinars, manuscripts, scientific data packages or other communication modalities * Assure the highest standards of quality, compliance and management of all research activities * Participate in RWE/Epi peer review of study protocols and study reports * Document all requests and track progress toward project completion, other metrics and business goals Qualifications * PhD in Epidemiology, Statistics/Biostatistics, Health Outcomes Research, Quantitative Methods, Public Health, Health Economics, or Other Biological Science fields with a substantial quantitative component and at least 1 years of relevant experience in the pharmaceutical, academic and/or medical environment; or, MPH or another relevant Master’s degree and at least 5 years of experience in the pharmaceutical, academic and/or medical environment, at least 1 of which were in the pharmaceutical industry. * Demonstrated strong quantitative skills and methods expertise to generate rapid insights from real-world / observational data source * Demonstrated strong technical writing skills and oral presentation skills with a track-record of publishing in peer-reviewed journals and presenting at medical/scientific conferences * Demonstrated ability to convert complex analysis into meaningful insights with data visualization and presentation tools and able to manipulate and analyze complex structured and unstructured data from multiple real world evidence sources. * Ability to work under pressure with a high level of autonomy/leadership on research projects and collaborate with multiple partners in a matrixed environment * Knowledgeable of the external regulatory environment for real-world evidence and maintains awareness of scientific developments in epidemiology, medicine, and technology (e.g., artificial intelligence). Bonus Points If You Have (Preferred Requirements): * Proficiency in rapid real-world data analytical platforms * Experience working with real-world data (RWD) including Electronic Medical Records (EMR), claims, and surveys * Excellent problem-solving and decision-making abilities * Ability to influence and collaborate with senior management and stakeholders * Strong project management skills with the ability to handle multiple projects simultaneously Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. PHYSICAL/MENTAL REQUIREMENTS Lifting, sitting, standing, walking, bending, ability to perform mathematical calculations and ability to perform complex data analysis. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week or more as needed. OTHER JOB DETAILS * Last Date to Apply for Job: December 29, 2025 * Eligible for Relocation Package: No The annual base salary for this position ranges from $135,100.00 to $225,100.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. • The annual base salary for this position in Tampa, FL ranges from $121,600.00 to $202,600.00. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

This position is for a Medical Director within the CDK4 program. This individual contributor position will be responsible for supporting clinical trial(s). The successful candidate should ideally have prior experience in clinical trials and supporting development programs. ROLE RESPONSIBILITIES Study-level Clinical Development Leadership • Collaborate with Clinical Scientists to provide clinical leadership across 2-3 study teams that is scientifically rigorous and aligns with company objectives., • Conduct medical monitoring activities including eligibility assessment, data review and safety monitoring., • Lead peer-to-peer interactions with investigator., • Serve as the point of contact for clinical issues between the study team, investigators, ethics committees, steering committees, and regulatory authorities., • Collaborate with Clinical Scientist to review and interpret clinical data, identify key findings and implications, and communicate to internal and external stakeholders., • Maintains a high level of clinical expertise and professional competence by staying abreast of the latest developments, literature, and guidelines to advise on and drive current and future clinical development plans. BASIC QUALIFICATIONS • Medical degree and 4 years clinical experience, • Industry experience preferred PREFERRED QUALIFICATIONS Board certified/eligible in oncology or equivalent Breast Oncology experience preferred Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Relocation support available Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week The annual base salary for this position ranges from $226,300.00 to $377,100.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 25.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

Job Summary This position is for a Senior Medical Director within the atirmociclib program. This individual contributor will be responsible for supporting clinical trial(s) and lead sub teams in clinical development. The successful candidate should ideally have prior experience in clinical trials, supporting development programs, health authority interactions and demonstrated leadership capabilities to ensure that the clinical development program meets scientific, ethical, and regulatory standards. Job Responsibilities Clinical Development Leadership on Study Teams and Development Subteams • Conduct medical monitoring activities including eligibility assessment, data review and safety monitoring., • Lead peer-to-peer interactions with investigators, • Serve as the point of contact for clinical issues between the study team, investigators, ethics committees, steering committees, and regulatory authorities., • Lead and contribute to development and maintenance of clinical trial and regulatory documents, in collaboration with Clinical Scientist and the cross-functional team., • Provide clinical development leadership across several study teams., • Collaborate with the Global Development Team to create and refine development strategies., • Represent the company in external engagements or as committee member in joint collaborations., • Collaborate with Clinical Scientists to review and interpret clinical data, identify key findings and implications, and communicate to internal and external stakeholders., • Medical degree with 5+ years of industry experience, • Clinical oncology experience (typically 4+ years) Preferred Qualifications Board certified/eligible in oncology or equivalent preferred Breast Oncology experience (2+ years) Organizational Relationships Reports to Global Development Lead and partners closely with subject matter experts within cross-functional study team, Pfizer Oncology Division and counterparts in other divisions within Pfizer. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Travel to scientific conferences / meetings several times per year, as needed Relocation support available Work Location Assignment: Hybrid The annual base salary for this position ranges from $242,000.00 to $403,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 25.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make ___ accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email ___. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions 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. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance – e.g., answering questions like, how do we know which providers deliver better surgical outcomes or what data concepts do we need to build out to improve our analysis. Your work will directly impact our member recommendations and provider-facing data products. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with data scientists and clinical experts to shape how we define provider performance metrics, apply statistical rules, and model provider behavior, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 2-5 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Strong Python and SQL skills., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.Technologies we use:

Job Description Applied Physics is seeking a Data Scientist experienced with a diverse array of data types to join our dynamic and multidisciplinary team of independent and entrepreneurial computer scientists and engineers. In this role, you will collaborate with scientists and researchers in various areas, including data analysis, compression, text processing, graph analysis, machine learning, information visualization, as well as others. Responsibilities: • Collaborate with scientists and researchers in various areas to develop state-of-the-art algorithms, software, and computer systems solutions to challenging problems., • Assess the requirements for data science research from Applied Physics and the Advanced Propulsion Laboratory., • Engage with other developers frequently to share relevant knowledge, opinions, and recommendations, working to fulfill deliverables as a team., • Design technical solutions independently, participating as a member of a multidisciplinary team to analyze client requirements and designs, and implementing software and performing analyses to address these needs., • Bachelor’s degree in computer science, computer engineering, or related field, or the equivalent combination of education and related experience., • Comprehensive knowledge of one or more of the following: high-performance computing, scientific data analysis, statistical analysis, computer security, systems programming, and/or large-scale data management., • Skilled in all phases of software development, including but not limited to feasibility requirements, design, implementation, integration, testing, and deployment., • Experience developing software with C++, C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms., • Ability to successfully handle multiple time-sensitive projects across several disciplines. We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Data Scientist (Perpetuals) - Crypto - this is a fully remote role for US based candidates or Europe based candidates (if they can work EST hours). We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Data Scientist to join our team. Reporting directly to the Head of Economic Risk & Strategy, you will play a critical role in advancing our modeling capabilities and delivering powerful data insights across decentralized finance. In this role, you will collaborate with protocol teams and internal stakeholders to support strategic research, simulation, and risk analysis. Responsibilities: * Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example) * Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into our simulation platform * Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research * Explore new algorithms and techniques to surface insights in DeFi security and optimizations * Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others * Collaborate with cross-functional teams to ensure high-quality outputs. * Contribute to the continuous improvement and innovation of our platform. Requirements: * 4+ years of professional experience in Data Science – a must * Strong trading background required, including experience building models and deep understanding of derivatives, pricing, financial markets, and systems * Previous experience in FinTech * Solid understanding of machine learning techniques and algorithms * Hands-on experience with Python and relevant data science packages * You love working in small, dynamic, fast-paced teams that encourage you to learn and grow * Strong problem-solving abilities and a passion for DeFi and blockchain technology Preferred Qualifications: * Bonus points for prior web3 experience using Dune or writing smart contracts * Bonus points for DeFi knowledge * Broader understanding of crypto and blockchain ecosystem – a plus * Demonstrated ability to work in a fast-paced, collaborative environment Compensation & Package Our Perks: * Flexible hybrid work environment. * Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays. * 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents. * FSA or HSA (pending on selected health insurance). * Generous 401k plan with employer match. * Thoughtful Parental Leave Policy. * Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP. * Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. * Pre-tax Commuter Benefits. * Salary and seniority level commensurate with experience (range: $130-150K USD)

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description About Us Catalyst Labs is a specialized talent partner with a focus on recruiting top-tier engineers across Software, Data, and AI-driven domains. We are deeply embedded in our clients’ technical hiring operations. We collaborate directly with Founders, CTOs, and Heads of AI at Tier 1 VC backed startups, scale ups and enterprise tech like Palatir, who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems Our Client: A fast-growing technology company that embeds top engineering talent directly into customer environments to solve high-impact operational and data challenges. They help enterprises rapidly build and scale mission-critical applications that drive measurable business outcomes. The company bootstrapped to generate $25M in revenue and raised $6.7M in total funding, supporting its continued growth and expansion. Location: Hudson Yards, NY Work type: Full time, Hybrid (travel required 10 to 30% of the time) Overview This role is centered around partnering directly with customers to solve their most valuable and complex problems. As a Forward Deployed Software Engineer, you will work hand-in-hand with stakeholders to design, build, and maintain high-impact applications that drive real business change. Your day-to-day work involves understanding mission-critical objectives, transforming enterprise data into operational workflows, and delivering tools that executives and frontline teams rely on to make informed decisions. You’ll move fast rapidly iterating, building systems from scratch, and enabling organizations to modernize their operations at exceptional speed. Beyond writing code, you will play a key role in reshaping how entire teams operate by delivering powerful, data-driven solutions that directly influence business outcomes. Key Responsibilities * Work closely with customer stakeholders to understand their most critical business objectives and translate them into high-impact technical solutions. * Architect, develop, and maintain applications that operationalize enterprise data and drive measurable business outcomes. * Build end-to-end workflows using large structured and unstructured datasets in production environments. * Iterate rapidly, often building systems from scratch, to help customers transform their operations at exceptional speed. * Collaborate directly with executives, operators, and cross-functional teams to deploy tools that meaningfully improve business processes. * Own projects autonomously taking full responsibility for delivery, implementation, and long-term success. * Embed with customer teams as needed, providing both technical expertise and on-the-ground support. * Travel to client sites as required (typically 10 to 33%) to support implementations and ensure successful adoption. * Work hybrid/on-site at company offices (London, New York, Washington D.C., or Denver) and at customer locations during key phases of deployment. Qualifications Required * Bachelor’s or Master’s degree in Computer Science or a related field. * 1 to 5 years of experience as a fullstack engineer, data engineer, or FDE * Strong analytical and problem-solving skills, with the ability to break down complex challenges and deliver practical, production-ready solutions. * Proficiency in Python and/or TypeScript. * Demonstrated experience building applications that leverage large datasets in real-world production environments. * Proven track record of delivering measurable outcomes through codewhether as a software engineer, data scientist, or technical analytics lead. * Ability to work independently and own outcomes end-to-end while also collaborating effectively with technical and non-technical stakeholders. * Excellent communication and interpersonal skills to work closely with customers and internal teams. * Willingness to travel for customer implementations (10 to 33% depending on project). * Enthusiasm for working hybrid-in-person at one of the company’s office locations and onsite with customers. Preferred * Experience working with Palantir Foundry and/or AIP. * Experience delivering production ML or LLM-based solutions. * Experience building production React frontend applications. * Familiarity with Spark, distributed computing, or large-scale data processing frameworks. Note: We adhere to strict data protection policies to ensure that your information is secure and only shared with potential employers with your explicit consent to ensure your confidentiality throughout the hiring process

Job DescriptionCompany Description From 1946, people of the House of Parfums Christian Dior in France and around the world embody the spirit of excellence, creativity, and the unique savoir-faire of its creator, the couturier-perfumer Christian Dior. Revolutionizing the codes of French elegance and luxury with its perfumes, combining tradition and daring innovation in makeup and skincare, we reinvent every day the Dior style and affirm beauty and joy in its entirety. Parfums Christian Dior is part of the LVMH Group. Job Description We are seeking a strategically minded and analytically driven Manager, Business Analyst & Digital Planning to lead forecasting, performance analysis, and business planning for our direct-to-consumer (DTC) digital channel. In this role, you will design forecasting models, build dashboards, and translate data into insights that shape and accelerate the digital business. The ideal candidate is equal parts data scientist, business strategist, and storyteller—able to transform complex data into clear, actionable insights that drive growth and elevate the luxury digital experience. PRINCIPAL DUTIES AND RESPONSIBILITIES Forecasting & Analysis: • Lead the development, maintenance, and refinement of sales and demand forecasts at SKU, category, and channel levels—integrating historical trends, seasonality, and business inputs from Finance and Sales Planning., • Continuously analyze and recap product and category performance to identify trends, highlight risks and opportunities, and ensure alignment across sales and inventory planning., • Conduct variance analysis (forecast vs. actuals), delivering insights and corrective recommendations to improve forecast precision and agility., • Analyze and share business performance on a daily, weekly, and monthly basis to identify trends, risks, and highlight opportunities for growth., • Partner with Beauty Tech for reporting and generate insight-driven narratives, preparing regular performance recaps, and communicate findings., • Create KPI scorecards that empower teams with accessible insights., • Proactively identify anomalies versus target plans and find actionable solutions., • Stay current on digital and retail trends, emerging technologies, and evolving consumer behaviors that could influence traffic, conversion, and sales performance.Qualifications, • 5-7 years of experience in digital commerce, forecasting, or digital planning ideally within a luxury, beauty, or premium consumer brand, • Proven expertise in sales forecasting, demand planning, and performance analytics, with the ability to interpret financial reports and translate insights into actionable business strategies, • Experience in leveraging data and insights to inform digital strategy, marketing performance, and profitability optimization., • Strong understanding of DTC business models, merchandising strategy, and eCommerce KPIs (traffic, conversion, AOV, retention, and profitability)., • Demonstrated ability to translate complex data into clear business narratives, influencing cross-functional teams and senior stakeholders., • Strategic and detail-oriented, with the ability to manage both high-level insights and operational execution., • Self-starter who can work autonomously, anticipate business needs, and drive projects from analysis to action., • A mindset of continued curiosity and innovation, always seeking new ways to improve forecasting accuracy, efficiency, and business impact., • Passion for the beauty and fragrances industry, competitive landscape & trends., • Advanced proficiency in Microsoft Excel and PowerPoint; experience with digital analytics and dashboard tools such as Power BI, Google Analytics, and Salesforce, • Experience working with a foreign parent company a plus. Additional Information This job description is intended to cover the core accountabilities of the position and is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice. All your information will be kept confidential according to EEO guidelines. LVMH Inc. uses the published salary range as a guideline to provide our employees with market competitive pay while allowing for flexibility to recognize and reward various levels of expertise, performance, and tenure. While the published salary range is a good faith reflection of the targeted salary level for the position, LVMH Inc. reserves the right to pay outside of the published range of $115-$125,000.

Job DescriptionCompany Overview:Established in 1805, the New York City Department of Health and Mental Hygiene (the NYC Health Department) is the oldest and largest health department in the country. Our mission is to protect and improve the health of all New Yorkers, in service of a vision of a city in which all New Yorkers can realize their full health potential, regardless of who they are, how old they are, where they are from, or where they live. As a world-renowned public health agency with a history of building transformative public health programming and infrastructure, innovating in science and scholarship to advance public health knowledge, and responding to urgent public health crises — from New York City’s yellow fever outbreak in 1822, to the COVID-19 pandemic — we are a hub for public health innovation, expertise, and programs, and services. We serve as the population health strategist, and policy, and planning authority for the City of New York, while also having a vast impact on national and international public policy, including programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and racial and social justice work, among others. Job Summary:The Bureau of Data Technology and Strategy seeks a Data Science Associate to provide technical support for the application of data science to study public health outcomes and solutions. The Data Science Associate will engage in the implementation of AI/ML research tools, bringing in-house solutions to scale, and adapting developed technologies to new use cases. Problem-solving and stakeholder engagement skills will be applied in the public health setting to facilitate research, advanced analytics, and operations. The Data Science Associate will regularly interface with data engineers, data product developers, and data governance staff to integrate and maintain novel solutions into an enterprise data platform. The Data Science Associate will provide technical assistance to Agency users to promote and maintain the use of AI/ML technology solutions. The Data Science Associate will also provide support to the Senior Research Data Scientist for proposal development including technical advisement on analytic approaches and methods, technology resource requirements, timelines, and intended outputs. The successful candidate will be situated within a values-driven and highly collaborative work unit with strong technical and professional mentorship; professional development opportunities will be continuously available. This position will be within the Health Department’s innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data tobe accessible, timely, equitable, meaningfully usable, and protected – and being actively to protect and promote health and wellbeing of New Yorkers. The selected candidate will be an employee of Public Health Solutions, a nonprofit organization which is the fiscal and administrative manager of the grant, but the work be supervised by DOHMH. This position will be based at the Health Department’s office in Long Island City, NY, with the possibility of hybrid work. Responsibilities: • Support research that strengthens public health insights and actions through the use of data scientific methods, especially reusable, scalable AI/ML methods, • Identify and/or assist development of AI/ML methods and/or practices; promote them to agency’s data analysts, data engineers, data scientists, and researchers through trainings and/or reports, • Contribute to development of health equity-focused data products, • Collaborate with CPHDS data engineers, product developers, product managers, and researchers to develop and launch public health analytic solutions for the Agency and the public health community at-large, • Collaborate with internal and external researchers and analysts for various research projects, • Author reports, presentations, and scientific papers based on analyses Qualifications:, • A minimum of 2 years of work experience in statistical learning development, with some work experience in the development of deep learning algorithms, • High fluency in the Python programming language is required, with proficiency in one of the deep-learning frameworks PyTorch or Tensorflow, • Experience in virtualization technology, particularly with working experience in cloud environments (e.g., Azure, GCP, AWS, Databricks), • Experience in the development and deployment of foundation models, • Advanced knowledge and experience in data wrangling, analysis, and visualization, • Knowledge of public health research and operations, including health equity, • Experience developing user interfaces and dashboards, working with geospatial data a plus, • Ability to work with staff at all levels and to communicate complex technical knowledge in language that is understood at every level, • Hybrid Work Schedule., • Generous Paid Time Off and Holidays., • An attractive and comprehensive benefits package including Medical, Dental and Vision., • Flexible Spending Accounts and Commuter Benefits., • Company Paid Life Insurance and Disability Coverage., • 403 (b) + employer matching and discretionary company contributions., • College Savings Plan., • This individual must reside in the tri-state area (NY, NJ, CT) by their confirmed start date., • Preference may be given to individuals residing in New York City (5 boroughs) or surrounding New York State counties., • This individual will be expected to work non-business hours during emergencies., • This is a temporary grant-funded position ending in November 2027 At PHS, we place immense value on diversity within our teams, understanding that varied backgrounds and experiences significantly enhance our community and propel us toward our goals. If you find you don’t have experience in all the areas listed above, we still encourage you to apply and share your background and experiences in your application. We are eager to discover how your unique perspective can bring positive transformations to our team and help advance our mission of creating healthier, more equitable communities. We look forward to learning more about you! PHS is proud to be an equal opportunity employer and encourages applications from women, people of color, persons with disabilities, LGBTQIA+ individuals, and veterans. Monday-Friday Hybrid 35 Hours Per Week

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022), • Design, build, and deploy end-to-end AI-powered solutions using AI models (e.g., OpenAI, Gemini) and modern orchestration techniques such as RAG, multi-call prompting, and agent frameworks to power intelligent product experiences., • Work with product, data, and engineering teams to turn rich healthcare data into actionable insights and intelligent workflows that improve the care journey for both members and providers., • Develop robust ML pipelines and platform components that enable model experimentation, fine-tuning, training from scratch when needed, and deployment in production environments — with a strong focus on scalability, safety, and performance., • Collaborate cross-functionally to prototype and productionize AI-driven features such as personalization, care routing, decision support, and summarization., • Drive architecture discussions and technical decision-making across AI/ML systems, promoting best practices in coding, design, and evaluation of AI models., • Mentor engineers and data scientists across the organization, fostering a strong culture of curiosity, experimentation, and AI fluency., • A strong track record in either:, • Building AI-powered applications using foundation models and orchestration techniques (e.g., RAG, agents, LangChain, vector search), or, • Deep experience as a data scientist working across the data science lifecycle — from understanding messy, complex datasets to training or fine-tuning models that deliver measurable business impact., • Experience integrating and deploying foundation models via platforms like OpenAI, Google Vertex AI, or similar., • A clear understanding of how to work with health-related datasets, including user behavior, care journeys, health profiles, and provider interactions., • Fluency in Python and experience with backend or platform engineering in one or more additional languages (Go, Java, etc.)., • Familiarity with cloud-native systems (e.g., containerization, orchestration, distributed systems) and how to operationalize AI solutions within them., • Experience with data preprocessing, feature engineering, model evaluation, and end-to-end ML deployment workflows., • A collaborative mindset, strong communication skills, and a passion for using AI to improve healthcare outcomes., • Bachelor's or Master's degree in Computer Science or related field, or equivalent experience. Maven embraces a flexible hybrid work model. Our teams primarily operate from the New York Metropolitan area, NY, San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C. For those in our New York City office, we encourage in-person collaboration by requiring team members to work onsite three days a week (Tuesday, Wednesday, Thursday). For those based in San Francisco/Bay Area, CA, Seattle, WA, Boston, MA, Chicago, IL, and Washington, D.C., we encourage in-person collaboration by requiring team members to attend quarterly Work Together Days within these cities. This policy aims to balance remote work flexibility with the benefits of face-to-face interaction. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants 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. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

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. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • 7-11 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Accelerated Growth Environment: Immerse yourself in 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: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: As a Decision Scientist II, you will collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap. You will transform insights into decisive actions and product enhancements, providing business teams with actionable insights and investigating issues to empower leadership decisions. Embedded within a dynamic environment, you will design, execute, and analyze experiments to solve complex business problems directly related to growth and success. Close collaboration with stakeholders will be key to your success, as you address challenges and contribute to the continuous improvement of the user experience. We currently have multiple Decision Scientist II roles open across different teams. Please note, we will start with a more general interview process and will then match you accordingly based on interest and experience. Key Focuses: • Define KPIs and create reports and dashboards against large data sets to track performance., • Use data to identify opportunities for improving user acquisition and optimizing return on investment., • Turn ambiguous questions into clear analytical problems and solve them using data., • Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth., • Design, execute, and analyze experiments that drive product growth and improvement., • Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience., • 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product., • Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions., • Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL., • Advanced degree (Master's or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics., • Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference., • Competitive salary, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $130,000 - $155,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at:

Job Description SoHo West / Hudson Square, New York City | Full-time | In-office We’re building the most loved hydration brand in the world. Be LOVE™ is building the future of hydration. Founded by Kurt Seidensticker (Founder of Vital Proteins, early investor in Ghost Energy and Koia) and Leslie Scofield (Toms, Aviator Nation, Summit Series), Be LOVE™ isn’t just another beverage brand—it’s a cultural movement for wellness, connection, and performance. Our balanced electrolyte drinks are made for everyone, every day, designed to help people feel their best. Our NYC office is the engine driving the brand forward. We’re building a team of A-players across marketing, growth, and technology—and we’re looking for a Head of Growth leader. The Head of Growth will be responsible for defining and executing the end-to-end growth strategy for Be LOVE™. You will not just manage a budget; you will be required to be hands-on in developing content, testing hooks, and establishing the systems that enable exponential scale. This role is highly cross-functional, sitting at the intersection of Content, Data, and Performance Marketing. Who You Are You design growth like an operating system. You build teams, scoreboards, and loops that compound. You balance ROAS and brand, speed and rigor, ambition and guardrails. You see the whole chessboard—Amazon to DTC to TikTok Shop to retail—and you move the right pieces at the right time. You eat TACoS for breakfast. Build Responsibilities • Develop and execute Amazon strategies, including PPC (AMS), Display (DSP), SEO, content optimization (A+ Content, Brand Story), inventory forecasting, FBA management, and ratings/reviews to drive top-of-funnel awareness and bottom-funnel conversions, • Set the growth cadence and keep one-truth dashboards current, • Build and scale a TikTok Shop affiliate program inspired by high-performing models: implement tiered commissions (e.g., scaling from entry-level to performance-based rewards), customer discounts for impulse buys, and a creator community via Discord for collaboration, onboarding, and motivation, • Accelerate content flywheel: Maintain daily posting consistency, curate hooks (e.g., underdog stories, celebrity endorsements), A/B test value props, and provide viral-ready assets for creators to remix—focusing on authentic, raw content to boost engagement and virility., • Maintain a hands-on platform presence (especially on TOF platforms like TikTok) to ensure the team is always aligned with native cultural and technical best practices., • Recruit and coach creators/affiliates: Design orientations (e.g., Notion-based videos), vet for brand alignment, and foster a tiered system with incentives like prizes, exclusive access, and custom bonuses to reward high-GMV performers, • Design and scale an in-house Creator/Affiliate Program from the ground up, prioritizing this "Creator Engine" model over reliance on external agencies., • Partner with sales, marketing, and supply chain teams on inventory management, 3PL setups (e.g., for FBM/Seller Fulfilled), and international expansion to ensure seamless D2C and marketplace operations., • Drive user acquisition through a "Speed & quantity beat polish" approach to content and perform relentless A/B Testing on all creative, landing pages, and messaging., • Manage core performance channels, including Social Media Advertising, Google PMAX, and Amazon Marketing Services (AMS), ensuring high efficiency in capturing demand and retargeting., • Define and track micrometrics (e.g., 3-second hold rate, watch time %, CTR) to provide granular, data-driven feedback to the creator team., • Manage and optimize key growth tools such as Shopify Plus (eCommerce platform) and Klaviyo (email/SMS marketing) to maximize conversion and Customer Retention., • Develop a tiered community and incentive system that leverages culture, status, and non-monetary rewards to motivate high-performing creators toward GMV goals. Data & Intelligence Leadership • Architect the Data Product: Directly oversee the AI/Data Ops Engineering team to build and govern reliable, real-time pipelines from all growth sources (Shopify, Amazon SP-API, Klaviyo, TikTok/Meta Ads) into our single source of truth (Looker/Mode), guaranteeing data freshness and accuracy for the entire organization., • Command Predictive Modeling: Direct the Growth Data Scientist to design, implement, and maintain advanced analytical models, including LTV curves, churn predictions, channel response curves, and incrementality tests (Geo Holdouts), ensuring these outputs directly inform the "next-best-dollar" budget allocation strategy., • Mandate AI-Driven Automation: Lead the strategic deployment of LLMs (e.g., GPT, Claude) and machine learning workflows to automate operational leverage, such as content tagging, review sentiment clustering, competitor analysis, and high-velocity ad copy iteration., • Govern the Testing Agenda: Own the overall test slate, prioritizing hypotheses from the team to maximize marginal return on media and on-site changes, and ensuring every test adheres to rigorous Experimentation Discipline (KPIs, lift thresholds, and clear start/stop/scale rules). Management Responsibilities • Lead omnichannel growth across Amazon, TikTok Shop, DTC (Shopify), and emerging marketplaces optimizing for ROAS, GMV, and LTV., • Design and Lead the Growth org, define roles and ladders across Ads, Amazon, DTC, Data/AI, and Performance, • Publish the quarterly plan with targets, budget mix, response-curve guardrails, and clear stage gates by channel, • Set allocation guardrails, approve in-quarter rebalances to highest marginal return, and document tradeoffs in plain English, • Own forecast governance with weekly rollups by channel with risks, upsides, and inventory constraints, tied to cash goals, • Standardize measurement by unifying last-click, halo, and incrementality into one read with confidence notes and caveats, • Set the testing agenda and prioritize hypotheses, define KPIs and lift thresholds, and enforce start/stop/scale rules, • Align Amazon, DTC, and TikTok Shop on price integrity, offers, bundles, and promo eligibility against stock, • Partner with Sales/Retail on velocity goals, creator-to-retail amplification, and sell-in stories backed by performance reads, • Ship executive-ready dashboards—MER/CAC/LTV, TACoS/ROAS, rank/CVR, retention cohorts—and empower teams with self-serve tools, • Coach leaders with clear scoreboards, constructive reviews, hiring loops, and onboarding that gets ramp in weeks, not months, • Brief the exec team with concise variance-and-actions, next-best-dollar calls, and scenario plans if X or Y moves, • Protect pace and compliance, enforce claims guardrails and platform policies, maintain rights/usage logs, keep audit-ready records You’ll Thrive If You… • Love turning scattered wins into a machine that compounds, • Can defend a budget shift in three bullets and a chart, • Default to lift over lore and prove it cleanly, • Keep the plan tight, the pace high, and the culture kind, • See around corners and flag risks before they cost us margin Tech Stack You Might Touch • Amazon Seller or Vendor Central and Ads, • TikTok Shop and Ads Manager, • Shopify, GA4, Looker or Mode, Search Console, • Helium10, DataDive, UTM and feed tools, • Google Sheets, Notion, Slack, Frame.io What Really Matters • Documented channel growth with ROAS, LTV, and contribution margin gains, • Plans and forecasts that matched reality and guided better allocations, • Programs that scaled from creator spark to retail velocity, • Dashboards and one-pagers leaders actually used to decide faster, • Teams you hired and coached that now ship at a higher bar Requirements Helpful Degrees: BS/MS in Data Science, Statistics, Mathematics, Economic, or Computer Science Alternatively Physics, Engineering, or Quantitative Finance • 8+ years of experience in Growth or Digital Marketing, with 2+ years specifically at the Director level for a DTC brand., • Proven expertise in building and scaling a TikTok-centric marketing strategy and managing a creator/affiliate network., • Experimentation Discipline with hypotheses, KPIs, lift thresholds, and start-stop-scale rules, • Creator-Economy Fluency to translate culture signals into performance programs that compound, • Financial Acumen on CAC, LTV, payback, contribution margin, and cash-aware planning, • Strong analytical skills with an obsession for A/B Testing and interpreting granular, non-standard growth data., • Expertise in setting up and managing a modern marketing tech stack, specifically Klaviyo, Shopify, and Google Analytics., • Proven Ownership of Amazon, DTC, and Social Commerce under one scoreboard, • Track Record reallocating budgets by marginal return and improving MER and profit, • Forecast Governance with models that hold up against actuals and inventory constraints, • Measurement Literacy across last-click, halo, and incrementality with clear judgment on trust, • Experience in Strategic Content Development and orchestrating content-first partnerships that yield immediate, repurposeable assets., • Executive Communication that turns complex reads into three bullets and a chart, • Team Builder who hires well, coaches leaders and ICs, and raises the bar fast, • Operator Mindset with tight cadences, one-truth dashboards, and crisp variance-and-actions, • High proficiency in managing paid performance channels across Meta (Instagram/Facebook), Google (PMAX), and AMS., • Demonstrated ability to maintain ruthless focus by selecting and saturating key market segments., • Retail Partnership Savvy linking creator demand to velocity, price integrity, and promo health Comprehensive medical, dental, vision, FSA/HSA, commuter benefits; 401(k) with dollar-for-dollar match; life & disability; monthly wellness and connectivity stipends. This is an in-office role in SoHo West / Hudson Square, NYC—five days a week. We move fast together.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data 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 Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field 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 DescriptionSamba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights. Reporting to the VP of Data Science, as the Senior Data Scientist on our Measurement Sciences team, you will design and operationalize robust measurement frameworks—leveraging causal inference, experiment design, and advanced machine learning—to deliver transparent, actionable insights on ad incrementality, audience targeting, and cross-platform attribution. You will provide thought leadership and help guide the transformation of how advertisers measure, attribute, and optimize TV campaigns across linear and streaming platforms.WHAT YOU'LL DO • Design and implement ad incrementality measurement methodologies (A/B tests, uplift modeling, synthetic controls, Bayesian causal models) for linear TV and Connected TV (CTV) campaigns, • Develop globally scalable audience segmentation and targeting models using our viewership data ecosystem via millions of connected TVs, • Build and validate multi-touch attribution frameworks that reconcile impressions, views, and conversions across linear, CTV, OTT, and digital channels, • Lead the full analytics lifecycle—from data ingestion/ETL (SQL, Spark, Python) through feature engineering, model development, evaluation, and production deployment, • Partner closely with data engineering and DevOps teams to operationalize models in our cloud platform and ensure data quality, security, and scalability, • Translate complex analytical findings into clear, concise presentations and dashboards for internal stakeholders and external clients, driving strategic decision-making., • Support sales and marketing teams with the development of strong positioning stories to highlight the value of our audience media and measurement opportunities, • Mentor junior data scientists and analytics engineers, fostering best practices in experimentation, code quality, and reproducibility WHO YOU ARE, • Have a Master’s or advanced degree in Statistics, Econometrics, Data Science, Computer Science, or related quantitative field, • 7-10 years of hands-on experience in advertising/marketing analytics, media measurement, or a closely related discipline, • Expert in causal inference techniques (RCT design, difference-in-differences, propensity scoring, synthetic control) and uplift modeling. Background in Bayesian statistics or hierarchical modeling for uncertainty quantification, • Have a proven track record building attribution and incrementality solutions for TV and cross-media campaigns, • Have advanced programming skills in Python and SQL; Familiarity with Spark or other distributed compute frameworks, • Have demonstrated leadership in mentoring small data science teams and managing end-to-end data science projects, • Able to visualize data in a way that makes it easy for others to understand, • Are detail-oriented, highly organized, and proactive, • Have strong verbal and written communication skills, with the ability to explain complex analyses to both technical and non-technical audiences, • Thrive in a dynamic, fast-paced Agile and global environment, and being a team player, • Experience with data platforms (Databricks, Sagemaker, BigQuery, etc.), data orchestration tools (Airflow, dbt) and CI/CD best practices a plus, • Bonus: Strong knowledge or experience working with TV viewership data sources (set-top box, return-path, panel, census-level) and measurement vendors (Samba TV, Nielsen, Comscore, etc.)

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. *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). Each role at Cleerly has a defined salary range based on market data and company stage. We typically hire at the lower to mid-point of the range, with the top end reserved for internal growth and exceptional performance. Actual pay depends on factors like experience, technical depth, geographic location, and alignment with internal peers. 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 DescriptionValence has built the only AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The RoleIn this role you’ll be critical in shaping how data informs decisions across our product, customer, and go-to-market teams. You’ll uncover user behavior patterns, operational performance insights, and commercial opportunities — all while helping to lay the foundation for a scalable, insight-driven data culture. You'll collaborate deeply with leaders across Product, Engineering, Sales, and Customer Success to ensure we’re making the smartest possible decisions from day one. About ValenceWe're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.What You'll Do • Product & Customer Analytics, • You will analyze platform usage, feature engagement, and user interaction with our AI-powered coaching tools to surface actionable insights., • You’ll identify friction points and areas of opportunity across key user journeys., • You’ll support rigorous A/B testing, evaluate AI model performance, and help assess the impact of new features on user experience and outcomes., • Reporting & Visualization, • You’ll develop self-serve dashboards and recurring reporting frameworks to democratize access to data across teams., • You will translate complex data into clear, compelling stories for technical and non-technical audiences to support data-informed decision-making., • Data Infrastructure & Collaboration, • You’ll collaborate with Product and Engineering teams to define tracking requirements and ensure accurate, consistent data collection., • You’ll identify and recommend improvements to data processes that enhance quality, efficiency, and trust in analytics across the organization.What We’re Looking For, • You have 2+ years of experience in a data analytics role, ideally within a B2B SaaS or AI-focused startup environment., • You hold at least a Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related quantitative field., • You are highly proficient in SQL and comfortable writing complex queries and working with diverse database structures., • You have hands-on experience with Python (using libraries like Pandas, NumPy, Matplotlib, or Seaborn) or R for data analysis and visualization., • You’re familiar with BI tools such as Tableau, Looker, Power BI, or equivalent platforms., • You’re familiar with using Excel or Google Sheets for ad hoc analysis and data exploration., • You may also bring experience with product analytics platforms (e.g., Mixpanel, Amplitude), cloud environments (e.g., AWS or GCP), or data warehousing concepts., • You know how to break down complex business problems into structured analyses., • You are skilled at identifying trends, patterns, and outliers in data to uncover key insights., • You can clearly communicate findings—both in writing and verbally—to technical and non-technical stakeholders alike., • Nice to have: You’ve worked in a fast-paced, early-stage startup, you bring familiarity with AI/ML concepts, you understand SaaS metrics and enterprise customers.What you'll get, • Ownership & Rapid Growth, • Outsized missions from day one, with direct responsibility for company-defining projects, • Work alongside the executive team with transparency into strategy and decision-making, • Influence on direction through real-time customer feedback and market insights, • AI-First Operator, • Work directly with cutting-edge AI models and next-generation platforms, • Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries, • Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale, • Compensation, • Competitive salary including base + bonuses, • Comprehensive health coverage (medical, dental, vision) from day one, • Generous PTO, company-wide R&R shutdowns, and paid parental leave, • Retirement plan support for US and global employees, • Equity, • Meaningful ownership in a venture-backed company at a growth inflection point, • Financial upside that comes from scaling fast, • Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact, • Top-Performing Culture

Job Description Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: • Design and develop models to extract entities, detect intents, and understand document structure, • Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs, • Evaluate model performance where ground truth is partial, uncertain, or evolving Qualifications • 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models., • Proficiency with Python, • Experience with the latest in language models (transformers, LLMs, etc.), • Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc., • Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow, • Industry experience shepherding ML/AI projects from ideation to delivery, • Demonstrated ability to influence company KPIs with AI, • Experience with document layout analysis (using vision, NLP, or both)., • Experience with Spark/PySpark, • Experience with Databricks, • Play a key role in the success of our products by developing models for document understanding tasks., • Perform error analysis, data cleaning, and other related tasks to improve models., • Collaborate with your team by making recommendations for the development roadmap of a capability., • Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines., • Understand product use-cases and define key performance metrics for models according to business requirements., • Have a strong grasp of technologies upon which our platform is built., • Be independent in reading literature and doing research to develop models for new and existing products., • Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed., • Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. #LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is:$136,000—$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy.

Job Description Job Description: AI Task Evaluation & Statistical Analysis Specialist Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). Key Responsibilities * Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) * Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations * Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories * Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities * Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings * Stakeholder Communication: Present insights to data labeling experts and technical teams Required Qualifications * Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition * Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis * Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets * AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics * Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL Preferred Qualifications * Experience with AI/ML model evaluation or quality assurance * Background in finance or willingness to learn finance domain concepts * Experience with multi-dimensional failure analysis * Familiarity with benchmark datasets and evaluation frameworks * 2-4 years of relevant experience

Job Description eDNA Post-Doctoral Associate OceanX About OceanX: OceanX is a nonprofit working to unlock the ocean's sustainable potential. Through a dual focus on science and education, we're building a new paradigm where humanity and the ocean mutually thrive. Our approach is fueled by exploration, leveraging advanced research, multimedia educational programs, cross-sector partnerships, and advanced technology to help transform how people understand and value the ocean. Our work strives to fortify biodiversity and increase the sustainable use of ocean resources to help ensure the ocean remains a foundation for human wellbeing and potential. OceanX is a nonprofit operating program of Dalio Philanthropies. For more information, visit and follow OceanX on Facebook, Instagram, Twitter, X, and LinkedIn. Position Summary: OceanX is seeking a post-doctoral associate in the field of marine eDNA and meta genomics. The position involves work in a laboratory at sea on the research vessel OceanXplorer. The position would require performing nucleic acid sequencing and genome assembly from samples (water, soil, organisms, etc.) collected at sea during international expeditions. When not working on the vessel, the position would entail data analysis at home, in a New York City office or at a collaborating laboratory, domestically or abroad. Experience in marine eDNA purification and analysis, genome assembly and analysis are required. Ability to work independently and with international scientists aboard a research vessel is a must. The position comes with unique access to a range of exploration opportunities aboard an advanced research vessel including submersibles, ROVs, CTDs and a SCUBA diving platform. It is expected that the scientist would develop, execute and publish their scientific work in leading, peer-reviewed scientific journals. OceanX is an entrepreneurial environment which values team players who can manage priorities and workstreams simultaneously. To thrive and succeed within our unique culture and work environment, you must demonstrate humility, innate curiosity, and openness to new ideas/approaches. You also must be hard working, composed and goal oriented. Everyone working with OceanX is expected to be honest, open to giving and receiving objective feedback, constantly striving for self-improvement, and committed to the pursuit of excellence. Position Type: • This is a two-year contract position, with the possibility of renewal after the two-year term, • While the role will work closely with the OceanX team in support of OceanX initiatives, it will be formally employed and managed by a third-party staffing partner, • Note: This position requires spending approximately 50% of working time aboard the vessel, • Develop scientific projects within the field of environmental DNA in the marine environment in collaboration with the OceanX Science Program Director and Vice-Chair/Chief Science Officer, • Collect and analyze samples and data at-sea under scope of mission and projects as-developed with Science Program Director, • Utilize laboratory facilities and equipment on board the OceanXplorer, maintain an inventory of consumables required and/or used to execute project objectives, • Collaborate on board OceanXplorer with guest scientific teams and ship-based teams (ROV, Sub, Science) as-directed by the Science Program Officer to achieve project sampling goals and data requirements, • Professional Experience:, • PhD in molecular biology and genomics, • Ability to work and thrive in an entrepreneurial, rapidly evolving environment, with significant ambiguity, • Ability to communicate effectively in written and oral communications, • Strong project management capabilities, • Proven track record of taking initiative, with the ability to multi-task, collaborate with various team members, and conduct oneself in a highly professional manner when working with both internal and external colleagues., • Personal Attributes:, • Determined, resourceful and practical. An independent, self-starter, with a "roll up your sleeves" attitude and strong work ethic, • Agility, with a track record of getting things done, • Organized, reliable, and meticulous, • Ability to prioritize, meet tight deadlines, anticipate needs, and maintain high quality work, • Strong interpersonal and communication skills (written and verbal), • Comfortable with ambiguity, • Maintains high standards, • Highly collaborative, • General curiosity and passion for the Ocean, • Other Requirements:, • Must be willing and able to live and work aboard the OceanXplorer for prolonged deployments at sea Compensation: Compensation for this role is in the range of USD $90,000–$100,000.

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a 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 Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Works with team and manager to impact longer term strategies and roadmap, • Sets shorter term roadmap for team, • Interacts and collaborates closely with data and business counterparts across functional areas, • Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processingBonus points, • Advanced degree in a quantitative or technical field 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 DescriptionCareer Renew is recruiting for one of its clients a Product Data Scientist - Crypto - this is a fully onsite role for London or New York based candidates. Salary range: 250-300K USD yearly. About the Role We're seeking an experienced, versatile Product Data Scientist who thrives in a fast-paced environment. In this role, you'll have the freedom to identify opportunities, design and implement solutions, and measure their impact across our product. You'll collaborate with cross-functional teams while maintaining ownership of your projects from conception to completion. What You'll Do * Design, run, and analyze A/B tests to optimize our consumer product experience * Proactively identify problems and opportunities through data analysis * Build and maintain dashboards to track key metrics and visualize insights * Develop models to understand user behavior and predict outcomes * Collaborate with product and engineering teams to implement data-driven solutions * Drive projects independently from problem identification through solution implementation * Communicate complex findings clearly to technical and non-technical stakeholders * Help establish data best practices and methodologies Requirements * 2-3 years of data science experience at a startup, scale-up, or FAANG/equivalent company * Proficiency with Python/R and SQL/BigQuery * Strong experience designing, running, and analyzing A/B tests on consumer products * Demonstrated ability to work autonomously, managing entire projects from ideation to implementation * Experience translating data insights into actionable recommendations * Excellent communication skills, with the ability to present complex findings clearly Preferred Qualifications * Experience with cryptocurrency and blockchain data * Strong data visualization skills (especially with Grafana) * Experience working with event tracking data (especially FullStory) * Advanced knowledge of statistical methods and causal inference * Experience building and maintaining data pipelines (especially with Dataform) * Familiarity with Machine Learning methods and applications * Experience in consumer tech products or fintech What We're Looking For We value generalists over specialists. The ideal candidate has breadth across the data science field rather than deep expertise in just one area. You should be proactive, self-motivated, and comfortable taking initiative to find problems worth solving. You'll thrive in our environment if you enjoy autonomy and are excited about having end-to-end ownership of your work. Benefits * Competitive salary and equity package * Flexible work arrangements * Comprehensive health benefits * Professional development budget * Collaborative, fast-paced environment * Opportunity to shape the future of [industry/product] * We're building a diverse team and encourage applications from candidates of all backgrounds Compensation & Package Base Salary + Equity/Tokens

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 About us Photoroom launched in 2020 after being accepted into Y Combinator and has become the world's most popular AI photo editor over the past four years. Our goal is to create the technology allowing anyone create studio-level product images in minutes. With over 300 million downloads and processing 5+ billion images annually, we serve both individual creators and major enterprises like Amazon, DoorDash, and Decathlon through our B2C app and B2B API solutions. We're a profitable, remote-friendly company that has raised Series B funding and aims for 40% year-over-year growth. Our team of 100+ passionate builders focuses on craft, innovation, and collaboration, creating exceptional impact for entrepreneurs and businesses worldwide. Have you ever dreamt of working in Europe, living the Parisian dream? Now is your chance. TL; DR 🤓 Photoroom is looking for a talented Senior Applied Scientist. You will work on several ML solutions, starting from the requirements, literature, and all the way to a product. You will own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups. Your work will serve millions of users, be useful and be remarked. We are also training an open-source diffusion model from scratch, offering the opportunity to contribute to something cutting-edge and shareable with the broader ML community. 💰 Competitive salary + Stock-Options/BSPCE 🇪🇺 We are flexible: you can work from anywhere in Europe within a 3-hour flight from Paris (HQ) and come to our office once a month (fully reimbursed) or more often. This ensures effective collaboration and supports our commitment to reducing our carbon footprint. ✈️ We offer substantial support for relocation (10k€ signing bonus), including finding an apartment in Paris and supporting you with the visa procedure. 💻 Technology - new MacBook Pro, monitor, keyboard, etc. 🏖️ Socials - Quarterly company retreats, weekly Happy Hour & Game Time 🇬🇧 PhotoRoom is an international team and we work in English. We offer language lessons for those who need them (English & French). ✨ About the role ✨ * You'll be the eleventh engineer in the ML team, working alongside great talent from various backgrounds. * You will have full ownership of your ML work streams when applicable, or work with teammates on big topics. You have expertise and ownership; you have a say in how that goes. * You will master the whole pipeline, from training models to putting them into production and monitoring their performance. * You will work on new features, new applications, and some 0→1 solutions. * You will get fast feedback from our users and will iterate quickly. You will follow the usage of the product and make decisions based on that. * You will work within a small multicultural team composed of ~75 passionate, friendly & committed folks. ✨ About you ✨ * You have 3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch. * You have a deep experience with diffusion models, for image creation or edition. You’ve trained diffusion models from scratch, or practiced deep surgery beyond their original pre-training. * You are always the most pragmatic person in the room. * You favor speed of iteration over perfect, always leverage frameworks and libraries to avoid reinventing the wheel. * You have experience working on products requiring complex architectures. * You have a strong sense of ownership. * You take initiative and you are at ease to make product & technical decisions. * You have worked as part of a talented team and have experience in a fast-growing startup. * You’re curious, are comfortable with explaining or learning depending on the situation. The team has deep expertise and values knowledge sharing and humility. * You are fluent in English (French is not required!). ✨ Hiring Process ✨ * Screening call with our Head of AI * Home technical assignment, reviewed with the team * Culture fit interview and meet the team! * Reference check & Offer Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. Diversity, Equity, Inclusion, and Belonging We're committed to enabling everyone to feel included and valued at work. We believe our company and culture are strongest when composed of diverse experiences and backgrounds. That's also why we have flexible working hours, trust people to work remotely, and extended parental leave. All qualified applicants receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws.

Job Description The Financial Crime Data Scientist combines investigative expertise with advanced data science techniques to identify, assess, and mitigate financial risks, fraud, and emerging cyber-enabled threats. This role will analyze transactional, behavioral, and device-level signals; detect indicators of compromise; identify anomalous activity; and support intelligence integration into Appgate’s Fraud security products. The analyst will collaborate closely with internal product teams and other external intelligence sources to track financial crime patterns (e.g., ransomware operators, malware families, account takeover trends, money mule networks) and translate insights into predictive models, detection rules, and automated workflows. This candidate bridges fraud investigation, data analysis, and technical implementation while working cross-functionally with Product, Engineering, Risk, Marketing, and Operations. Responsibilities Fraud & Threat Intelligence • Conduct in-depth investigations into financial crime activity, including transaction fraud, account compromise, synthetic identity, malware-enabled fraud, and ransomware monetization patterns., • Monitor intelligence feeds for emerging threat actors, TTPs, botnet activity, phishing kits, malware variants, and monetization schemes., • Collect, clean, engineer, and analyze large datasets using Python, SQL, and cloud-based data platforms., • Perform statistical analysis, clustering, anomaly detection, and supervised/unsupervised machine learning to improve predictive fraud scoring., • Build and maintain analytical data pipelines with engineers using tools such as Airflow, dbt, Spark, or similar., • Automate data ingestion (APIs, logs, intelligence feeds, enrichment sources) for ongoing fraud monitoring., • Translate fraud intelligence into actionable requirements for product and engineering teams (e.g., detection rules, model features, new risk signals)., • Collaborate with marketing and customer-facing teams to prepare intelligence briefs, threat summaries, and fraud trend reports., • Maintain strict confidentiality and follow handling protocols for sensitive data, PII, and regulated financial information., • Stay current on fraud trends, sanctions, AML regulations, and industry standards. Required Qualifications • Bachelors/Masters degree in Data Science, Applied Statistics, Digital Forensics, Financial Engineering, Criminology, Computer Science, Cybersecurity, or relevant field; or equivalent experience., • 1–3+ years in fraud detection, threat intelligence, financial crime investigations, cyber threat analysis, or risk operations., • Strong proficiency in:, • SQL for data extraction and manipulation, • Python (pandas, NumPy, scikit-learn) for data analysis, • Data visualization tools (Tableau, Power BI, Looker, etc.), • Familiarity with machine learning concepts, anomaly detection, statistics, and predictive modeling., • Experience with fraud platforms, case management systems, device intelligence, or behavioral analytics systems., • Demonstrated investigative mindset with excellent documentation and communication skills. Preferred / Nice-to-Have Technical Skills • Experience with big data technologies (Spark, Databricks, Snowflake)., • Knowledge of fraud-specific data sources: device fingerprinting, behavioral biometrics, geolocation, IP intelligence, OSINT, malware intel feeds., • Familiarity with malware families, attack chains, and cyber threat intelligence frameworks such as MITRE ATT&CK., • Exposure to API-based integrations, data enrichment pipelines, and log analysis., • Understanding of risk scoring systems, rules engines, or real-time decisioning platforms., • Experience with AML, KYC, BSA, sanctions screening, or cryptocurrency tracing tools. Key Competencies • Analytical and critical thinking, • Statistical and machine learning literacy, • Effective communication and storytelling with data, • Investigative rigor and attention to detail, • Cross-functional collaboration, • Integrity and confidentiality, • Strong problem-solving and decision-making skills Appgate is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. In furtherance of Appgate’s policy regarding affirmative action and equal employment opportunity, Appgate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company’s EEO Coordinator.

Job Description Who We Are: Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Our recent Series C funding round brought our total investment to over $170 million, fueling our ambitious vision. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 6 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top-tier global investors, including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Unbound, SBI Group, Derayah Financial, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 230+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Alpaca is seeking an experienced Senior Data Scientist to join our remote, distributed team. This role is pivotal in driving insights and innovation from our rich data ecosystem, including financial transactions, customer data, API usage patterns, and third-party sources. You will be responsible for applying deep predictive and descriptive analytics to unlock strategic value and will be a key player in developing our next generation of agentic AI applications. What You'll Do • Lead Advanced Analysis: Design and execute deep predictive and descriptive analyses across our core business domains, including finance, marketing, and product metrics, to identify key trends, optimization opportunities, and strategic insights., • Develop Agentic AI: Spearhead the research, proof-of-concept (PoC), and full-lifecycle development of data-intensive applications, with a specific focus on building and deploying agentic AI systems., • Drive Model Lifecycle: Own the end-to-end development of data science solutions, from initial research and data handling (high-volume transactions, metrics) through to deployment, optimization, and maintenance., • Cross-Functional Collaboration: Work closely with stakeholders in sales, marketing, product, and operations to understand complex business needs and translate them into actionable, data-driven solutions., • Evolve Capabilities: Contribute to the evolution of Alpaca's data science capabilities by championing best practices in statistical modelling, MLOps, and advanced AI.Required Qualifications, • Domain Experience: Proven experience as a Senior Data Scientist with direct, hands-on experience in the brokerage, trading, or financial services industry., • Technical Proficiency: Expert-level proficiency in Python (including common data science libraries like pandas, scikit-learn, etc.) and advanced SQL., • Data Science Expertise: Deep understanding of statistical methods for supervised and unsupervised learning, with a strong portfolio of building and deploying models in a production environment., • Cloud & Data Warehousing: Hands-on experience with cloud-native data warehouses (e.g., Snowflake, BigQuery, Redshift; we use Trino & Iceberg) and familiarity with modern ETL processes., • Full-Stack Mindset: Ability to lead projects through the entire lifecycle (research, development, deployment, maintenance) and a strong understanding of handling high-volume data., • Collaboration: Excellent communication skills and a proven ability to thrive in a fast-paced, collaborative environment, translating complex findings for non-technical stakeholders.Preferred Qualifications (Nice-to-Have), • Competitive Salary & Stock Options, • Health Benefits, • New Hire Home-Office Setup: One-time USD $500 Recruitment Privacy Policy

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 You'll Do About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. We build the analytical foundation that informs strategy, optimizes execution, and ensures every customer-facing motion is guided by accurate, timely, and actionable intelligence. About the Role As a Senior Data Scientist, Sales Operations, you will play a pivotal role in shaping our commercial strategy and enabling data-driven decision making across the GTM organization. You will architect the data foundations for Sales, build advanced analytical and machine-learning models, and translate complex datasets into clear, strategic insights. Your work will directly guide forecasting, planning, segmentation, quota design, and GTM investments. You'll collaborate closely with cross-functional leaders and influence decisions at the highest levels. What You'll Do • Partner with Sales, Revenue Operations, Marketing, and Finance to define the data foundation for GTM, including instrumentation, metric definitions, pipelines, dashboards, and reporting., • Design, build, and maintain scalable data models and statistical/ML frameworks (e.g., segmentation, lead scoring, win/loss analysis, churn prediction, propensity modeling)., • Transform complex datasets into actionable commercial insights, identifying growth levers, bottlenecks, competitive dynamics, and customer behavior patterns — and convert them into strategic recommendations., • Lead GTM planning cycles: develop forecasting models, scenario planning, "what-if" analyses, target-setting methodologies, and playbooks., • Produce executive-level reporting and communicate insights and recommendations clearly to senior leadership and cross-functional stakeholders., • Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold best practices in modeling, documentation, and reproducibility., • Drive experimentation: design A/B tests, pilots, and measurement frameworks for new GTM initiatives, product launches, and sales motions., • Own the end-to-end analytics lifecycle: data collection → modeling → insight generation → strategy → execution → measurement., • Mentor junior data scientists, analytics engineers, and BI professionals; help cultivate a data-driven culture within Sales Operations.Who You Are, • 6–10+ years of experience in data science, sales operations analytics, business intelligence, or commercial strategy roles within SaaS, cloud, infrastructure, or high-growth technology environments., • Expertise with SQL, Python/R, large-scale datasets, statistical modeling, machine-learning methods, and data visualization tools., • Demonstrated ability to translate analytical outputs into strategic GTM recommendations and influence Sales/RevOps leadership., • Experience building forecasting models, segmentation frameworks, propensity models, or other advanced analytics used to drive revenue outcomes., • Strong understanding of GTM motions, sales funnel mechanics, segmentation and targeting, territory/quota design, pipeline generation, and churn/expansion dynamics., • Proven ability to communicate data and analysis clearly to senior leadership, using structured narratives and decision-ready insights., • Bachelor's degree in data science, statistics, mathematics, economics, engineering, business, or related field; advanced degree (MS/PhD) preferred.Preferred, • Experience with experimentation frameworks (A/B testing, causal inference, uplift modeling)., • Familiarity with modern data stacks (dbt, Snowflake, Looker, etc.)., • You love uncovering insights in messy datasets and turning them into strategic action., • You're curious about how GTM engines work and how data can unlock revenue growth., • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $135,000 to $198,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 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 Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Data Scientist to help power our marketing strategy. In this role, you’ll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company’s growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions 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. Please note benefits apply to full time employees only. Compensation Range: $150K - $200K

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Key Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations. Qualifications: • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. This is an onsite position, with flexibility, based in our New York City office. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Principal Data Scientist, you will serve as the senior technical leader within one of our leading Data Science teams, reporting to the Head of UK AI & Data Science. You will lead the design and execution of high-impact AI and data science initiatives, working hand-in-hand with embedded ML Engineers to move prototypes into production-ready pilots that deliver measurable business outcomes. This role is focused on delivery and applied impact: you will scope and frame complex business problems, develop advanced models, and collaborate with ML Engineers to ensure solutions are integrated, monitored, and piloted successfully. Once validated, you will work with the central engineering, data, and product teams, who own firm-wide platforms, scaling, and governance, to ensure smooth handoff and enterprise adoption. As the most senior data science IC, you will also mentor and guide a team of data scientists, set technical direction, represent TWG externally, and ensure all projects align with firm-wide priorities and responsible AI practices. Key Responsibilities: • Lead the design and delivery of flagship AI/ML projects that drive measurable value across financial services and adjacent sectors., • Act as senior technical authority on advanced methods (generative AI, causal inference, LLM-based analytics, RAG, simulation)., • Partner closely with embedded ML Engineers to operationalize models into production-ready pilots., • Collaborate with central engineering, data, and product teams to hand off successful pilots for scaling, governance, and long-term adoption., • Translate complex business challenges into enterprise-level AI solutions with tangible ROI., • Mentor and guide data scientists, fostering technical excellence, rigor, and responsible AI adoption., • Partner with senior stakeholders, including MDs and executive committees, to ensure AI initiatives align with priorities., • Represent TWG Global in external forums, universities, regulators, and partnerships with technology leaders., • Define and enforce standards for experimentation, reproducibility, and responsible AI. Qualifications: • 8+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects., • Deep expertise in advanced machine learning, causal inference, deep learning, and statistical modeling., • Demonstrated success leading end-to-end projects and influencing senior stakeholders., • Hands-on technical depth in Python (or R), cloud platforms, and modern ML frameworks., • Experience mentoring or leading small, high-performing teams., • PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline., • Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights., • Familiarity with LLM application frameworks, vector databases, and knowledge graphs., • Publications in top-tier AI/ML or data science conferences/journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Contributions to the open-source data science/ML ecosystem (libraries, frameworks, widely adopted tools)., • Track record of thought leadership (invited talks, keynotes, conference leadership roles)., • Experience establishing standards for reproducibility, experimentation, and responsible AI. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. Responsibilities: • Processes a wide variety of tissue specimens, including complex cases, ensuring proper fixation, processing, and embedding., • Performs routine and advanced microtomy techniques, including cutting various tissue types and troubleshooting cutting artifacts., • Performs routine Hematoxylin and Eosin (H&E) staining, as well as a range of special stains according to established protocols., • Prepares and maintains laboratory solutions, reagents, and stains, following established formulas and procedures., • Performs and documents routine and preventative maintenance on histology laboratory equipment, including microtomes, processors, and stainers., • Identifies and troubleshoots common technical problems related to tissue processing, embedding, microtomy, and staining, taking appropriate corrective actions., • Participates actively in the laboratory's quality assurance and quality control programs, including monitoring control slides and documenting any deviations., • Assists in the training and orientation of new Histotechnician I staff and histology trainees., • Manages the inventory of histology supplies and reagents, ensuring adequate stock levels and may be responsible for ordering supplies as needed., • Accurately enters and retrieves data from the laboratory information system (LIS) for specimen tracking, test results, and quality control records., • Files and retrieves tissue blocks and slides according to laboratory procedures., • Adheres to all laboratory safety policies and procedures, including the proper handling and disposal of hazardous materials., • May assist pathologists with gross examination and frozen section procedures., • Minimum of 3-5 years of experience working as a histotechnician in a laboratory setting, with demonstrated proficiency in routine and special staining techniques., • Strong knowledge of histology principles, techniques, and laboratory procedures., • Demonstrated ability to troubleshoot technical issues and perform quality control procedures., • Proficiency in operating and maintaining histology laboratory equipment., • Experience with laboratory information systems (LIS)., • Excellent attention to detail, manual dexterity, and organizational skills., • Strong communication and interpersonal skills, with the ability to work effectively as part of a team., • Ability to stand and sit for extended periods., • Excellent fine motor skills and hand-eye coordination for precise specimen handling and equipment operation., • Ability to lift and carry up to 25 pounds occasionally., • Normal or corrected vision, including color vision, to accurately assess tissue samples and staining quality.Benefits, • 100% coverage on employee health, vision and dental insurance, • Flexible Spending Accounts (FSA), • Retirement planning (401k), • Team building events outside of the office, • Strong compensation package l3hgAh5tjV

Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. Each member of the Data team plays an integral part of what we are building at Varo. We rely on advanced techniques in machine learning, cloud platforms and big data to drive decisions across the organization. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop custom models and algorithms to apply to large datasets, as well as, processes for monitoring and analyzing their performance, • Mine and analyze data from different resources, and use predictive modeling to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes, • Assess the effectiveness and accuracy of new data sources and data gathering techniques, • Understand and apply proper risk framework to your analysis and modeling., • Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business decisions, • Collaborate cross functionally to implement models and monitor outcomesYou'll bring the following required skills and experiences, • 7+ years of experience in Analytics, Data Science or Data Engineering as an individual contributor, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc, • Credit and / or Fraud Risk modeling experience in consumer finance is nice to have, • Strong problem solving skills with an emphasis on translating real-life problems into a concrete model development strategy. Blend academic rigor with a sense of pragmatism for rapidly prototyping and delivering solutions, • Experienced in using Python for analysis and modeling, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experience using web services (AWS, GCP), and distributed data/computing tools (Spark, Map/Reduce, Hadoop, Hive, etc.), • Excellent cross-functional communication skills

Job DescriptionAbout Clair If you can send your friends money in seconds, why does it still take your employer two weeks to send your paycheck? At Clair, we are on a mission to create financial freedom for America's workers by giving them a digital banking platform that allows them to get paid as soon as they clock out of work. But we're not just another digital bank or on-demand pay provider. We meet Americans at their place of work by embedding our products within the scheduling, workforce management, and payroll apps they already use every day. Learn more about us at getclair.com/about About the Role As a Senior Data Scientist on Clair's Data Science team, you'll be responsible for developing and maintaining the next generation of credit models and predictive systems that power Clair's financial products. You'll shape how millions of hourly workers access affordable credit, leveraging cutting-edge data science to assess risk, predict repayment, and optimize credit decisions. We're looking for someone who thrives at the intersection of data science, machine learning, and fintech, and who's excited to translate messy, real-world data into clear, actionable intelligence. This role blends credit modeling with feature engineering — from designing new model features (including predictive features) based on user transaction data to deploying and monitoring production-ready ML models that drive critical product decisions. To succeed, you'll need a deep technical foundation in machine learning and statistical modeling, hands-on experience in model deployment, and strong communication skills to collaborate with engineers, product managers, and risk teams. Key Responsibilities • Develop and maintain credit risk and repayment models that directly power Clair's underwriting and decision systems., • Design and engineer predictive features using transaction-level data, including the prediction of user income flows, spending, and repayment behaviors., • Collaborate with engineering teams to deploy, monitor, and optimize models in production environments using AWS and Snowflake ML Platform., • Build prototypes of new modeling methodologies and present them to stakeholders for evaluation and feedback., • Investigate and analyze credit performance, identifying root causes of model drift or unexpected repayment behavior., • Partner cross-functionally with product, risk, and engineering teams to turn data insights into product improvements and credit strategy refinements., • Communicate technical concepts clearly to both technical and non-technical audiences., • Stay current on best practices and emerging techniques in credit modeling, explainable AI, and financial ML systems. Minimum Qualifications • 5+ years of professional experience in data science and machine learning., • Proven track record of leading end-to-end data science projects — from research and model development to deployment and monitoring., • Experience building and productionizing credit or risk assessment models., • Strong proficiency in Python and familiarity with modern ML libraries (TensorFlow, PyTorch, XGBoost, etc.)., • Strong command of SQL and experience working with large transactional and time-series datasets., • Strong communication skills and ability to translate complex findings into actionable insights., • Experience working with cross-functional teams in a fast-paced production environment.Preferred Qualifications, • Experience in fintech or credit risk modeling., • Experience with cloud-based machine learning environments (AWS, Azure, Snowflake ML Platform, etc.)., • Familiarity with model explainability techniques and compliance requirements in financial modeling. Location: This is a hybrid position based out in New York City, you will be expected to come into the office at least three days a week (Tuesdays, Wednesdays, & Thursdays) with additional days on occasion for client meetings. Compensation: The annual base salary for this role is $165,000 to $172,000. The base pay for this role is determined using many factors, such as education, skills and experience and is reflective of Clair Series stage and size. Base pay is only one part of Clair's competitive total compensation package which includes equity, benefits and additional perks. The base pay range is subject to change and may be modified in the future. Clair will only contact candidates from @getclair.com email addresses. We will never ask for payments or sensitive personal information during the hiring process. If you happen to receive anything suspicious, please ignore it. Need more convincing? Apart from getting to work with our incredible team, here are some of the benefits you can expect when you join Clair: • Medical, Dental, & Vision Coverage, with option to extend to your family, • Fully-paid parental leave, • Company-sponsored 401k, HSA, and FSA, • Unlimited vacation for salaried roles, generous PTO for hourly roles, • Work from home setup allowance, • Access to your earnings every day on Clair

Job DescriptionCompStak is a pioneer in crowdsourced commercial real estate (CRE) data and analytics. Our platform transforms raw lease, sales, and property data into actionable insights for brokers, lenders, landlords, and investors. As we expand our data products, the scale and sophistication of our data pipelines and analytical systems are critical to delivering reliable, timely, and high-quality insights to our customers. Location: New York, NY (Hybrid- Three days per week in the office, subject to change) We are seeking an Applied Data Scientist – Econometrics with a strong foundation in economics, econometrics, finance, or commercial real estate and an interest in applying quantitative modeling to real-world market behavior. This role is ideal for someone who understands how markets work, has experience working with data, and wants to apply (and grow) modern analytical and data science methods within a commercial real estate context.In this role, you will help shape how CompStak analyzes, models, and interprets market dynamics by combining domain expertise with econometric and quantitative techniques. Your mission is to:-Apply econometric and statistical modeling to analyze and forecast trends in commercial real estate and related economic drivers.-Learn and apply modern analytical and machine learning techniques as needed to enhance insights and support CompStak’s data products.-Build scalable workflows that integrate structured CRE datasets with new, unstructured sources to support data enrichment and automation.-Collaborate closely with engineering, product, and data teams to develop data-driven solutions.-Bridge domain knowledge and quantitative methods to deliver models that are accurate, interpretable, and meaningful for business decisions.Responsibilities • Develop econometric and predictive models: Use quantitative methods to identify patterns, forecast trends, and interpret economic relationships in CRE markets., • Build and optimize data workflows: Create and refine data ingestion and transformation pipelines for structured and unstructured commercial real estate datasets., • Ensure data quality: Clean, validate, and reconcile datasets from diverse sources to ensure accuracy and reliability., • Communicate insights: Translate complex quantitative analysis into clear, actionable insights for both technical and non-technical stakeholders., • Stay current: Keep up with developments in econometrics, applied analytics, and trends in CRE markets and data science.Skills & Experience, • 3+ years of experience in an econometrics-focused or analytical role (e.g., economics research, finance, market analysis, consulting, commercial real estate, or corporate strategy)., • Strong understanding of econometrics, applied statistics, and quantitative modeling, demonstrated through academic or professional experience., • Proficiency in Python and familiarity with analytical/ML libraries (pandas, NumPy, scikit-learn, XGBoost)., • Experience working with large or complex datasets and using data to study market dynamics., • Excellent organizational, communication, and stakeholder management skills., • Bonus: Hands-on experience or interest in LLMs, embeddings, NLP tools, or modern ML frameworks (e.g., Hugging Face, LangChain, PyTorch/TensorFlow).

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. About the Opportunity: We're seeking a Staff Data Scientist to lead the science and systems that power our paid search marketing. You'll design the causal measurement stack, ship models that influence bidding and budgeting in real time, and partner with marketing, data, and platform teams to drive profitable, incremental growth. StubHub is the largest secondary ticket market 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. The core challenge for our marketing efforts is to acquire as many new customers as possible, efficiently, and at the right time in their customer journey, making it a complex and highly impactful domain. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Los Angeles, CA What You'll Do: • Own causal measurement for paid search: Stand up uplift/incrementality frameworks (e.g., doubly robust learners, causal forests, DML, IVs, synthetic control, DiD, BSTS) to quantify lift beyond correlation., • Ship production models: Build and serve models that inform bids, budgets, and query-level targeting using signals like incremental CPA, tROAS, LTV, and heterogenous treatment effects., • Design experiments & guardrails: Architect geo/cell tests and online experiments; handle power analysis, pre-trend checks, SUTVA threats, SRM detection, and sequential monitoring., • Integrate with ad platforms: Translate science into APIs/feeds for Google Ads, Microsoft Advertising, and SA360; validate against auction dynamics and Quality Score mechanics., • Data & MLOps leadership: Partner with platform teams to instrument events, build reliable feature stores and ETL (batch/stream), and establish monitoring for drift, bias, leakage, and attribution sanity., • Mentor & influence: Provide technical leadership across science, engineering, and marketing; set standards for methodology, code quality, documentation, and reproducibility., • 8+ years in applied ML/causal inference (or equivalent) with direct paid search/auction experience., • Expert in causal methods (uplift modeling, DML, IV, DiD/synth control, BSTS/Bayesian time series) and experimental design., • Strong software engineering: Python (pandas, numpy, scikit-learn, LightGBM/XGBoost), SQL; experience with Spark and one of AWS/GCP/Azure., • Hands-on with A/B frameworks, power analysis, and measurement diagnostics (SRM, balance, interference)., • Proven track record integrating with Google Ads/Microsoft Ads/SA360 and moving the needle on tROAS, CPA, LTV., • Strong experience with SEM optimization and bidding, particularly from the ad-buyer side., • Recsys, bandits/RL for bidding/budget pacing, MMM and privacy-aware attribution., • Scala/Java or microservices experience; Airflow/DBT; Kafka/PubSub; Feast or similar feature stores., • Technical leadership through influence rather than formal management authority, • Strategic thinking with the ability to balance long-term technical vision with immediate organizational needs, • Cross-functional collaboration skills to work effectively with Data Science, Product, and Engineering teams, • Communication skills to inject technical context into high-level organizational discussions, • Problem-solving approach for ambiguous, high-impact technical challenges, • Mentorship and sponsorship experience growing junior and mid-level engineers What We Offer:, • Accelerated Growth Environment: Immerse yourself in 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: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We are looking for a Senior Data Scientist to join our Garner Health Intelligence team to help build and evolve our provider data insights. You'll work with our clinical researchers, data scientists, and data engineers to improve the rules and models we use to evaluate provider performance. Your work will directly impact our member recommendations and provider-facing data products. You will also be a technical leader, raising the bar for how we conduct analysis, build models, and deploy data science code by improving standards and mentoring team members. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Partner with product managers and clinical experts to lead projects shaping how we define and measure provider cost and quality, • Drive the evolution and construction of tools we use to write, assess, and combine rules measuring provider behaviors, • Build and maintain data-driven algorithms, including AI and machine learning models, to improve our provider recommendations estimates, • Partner with data engineers to design scalable data pipelines that ingest, clean, and enrich healthcare provider data, • Collaborate cross-functionally with product, engineering, research, and operations teams to translate business needs into data-driven solutions, • Define data science standards and best practices, and mentor team members to raise the technical capabilities of the data science teamWhat you will bring to the team:, • 5+ years professional experience in data science, product analytics, and/or healthcare, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • Strong Python and SQL skills, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, • Experience working in a rapidly evolving startup environment

Job DescriptionSchmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to accelerate scientific knowledge and breakthroughs with the most promising, advanced tools to support a thriving planet. The organization prioritizes research in areas poised for impact including AI and advanced computing, astrophysics, biosciences, climate, and space—as well as supporting researchers in a variety of disciplines through its science systems program. Summary The Astrophysics Institute at Schmidt Sciences seeks a Data Management & Software Systems expert to guide the design and implementation of next-generation data management systems for astronomy. This role is ideal for a technically fluent leader who bridges astronomy, data engineering, and software architecture — someone who understands the full life cycle of astronomical data and can oversee complex, distributed systems built to serve the global scientific community. The successful candidate will help shape the Institute’s data management strategy, overseeing teams and partners building data pipelines, archives, and user-facing tools for ground- and space-based observatories. This is a rare opportunity to define how philanthropy can accelerate scientific discovery through robust, open, and interoperable data infrastructure. The Astrophysics Institute at Schmidt Sciences aims to rapidly expand our knowledge of the universe through the creation of innovative hardware and software platforms. This includes the development of computational tools and frameworks, ground and space-based instrumentation, and the promotion of fresh approaches to technological advancement that develop resources at a fraction of the typical time and cost. The Role Reporting to the Director of the Astrophysics Institute, the Data Management & Software Systems Expert will guide the architecture, integration, and strategy of data management systems across the Institute’s observatory and mission portfolio. This person will define system-level requirements, evaluate technical designs, and ensure that data infrastructure developed by partners and grantees meets the highest standards of interoperability, performance, and accessibility. They will be responsible for identifying and selecting qualified external vendors and contractors, establishing contractual agreements, and overseeing their work throughout project lifecycles. They will not necessarily write production code but must understand the systems deeply enough to direct, review, and synthesize the work of multiple teams. Key responsibilities for this role include the following: Data Systems Architecture and Strategy • Develop and refine the architecture for data management systems supporting Schmidt Sciences–funded observatories and instruments., • Define system-level requirements and workflows — from raw telemetry to science-ready archives — ensuring scalability, reproducibility, and open access., • Establish technical standards and documentation frameworks for data pipelines, archives, and analysis services.Implementation Oversight and Integration, • Advise or oversee technical teams and partner institutions implementing data infrastructure and software., • Evaluate and select technologies that support long-term data operations and community access., • Ensure seamless integration between data management systems, observatory operations, and user-facing science tools., • Maintain high standards of reliability, transparency, and sustainability in system design.Data Stewardship and Standards, • Champion best practices in data quality, provenance, and reproducibility., • Represent Schmidt Sciences in community initiatives on data standards, interoperability, and open-source development., • Promote alignment with community best-practices (e.g., FAIR data principles,IVOA protocols).Collaboration and Leadership, • Act as a bridge between astronomers, software engineers, and data scientists, translating scientific needs into actionable system requirements., • Mentor and advise teams on data architecture and software design practices., • Convene or participate in workshops and collaborative efforts to advance community data infrastructure.Requirements, • Advanced degree (Ph.D. or equivalent experience) in Astronomy, Astrophysics, Computer Science, or a closely related field., • Minimum 8 years of experience in the design, development, or management of large-scale astronomical or scientific data management systems., • Proven ability to define and lead technical architectures for complex, distributed data pipelines and archives., • Deep understanding of astronomical data life cycles, from instrument telemetry through calibration, reduction, curation, and scientific dissemination., • Familiarity with software engineering best practices, including version control, testing, documentation, and continuous integration., • Experience supervising technical teams (software engineers, DevOps, or data pipeline scientists) or coordinating multi-institutional collaborations., • Strong communication skills with the ability to translate between software engineers and scientists., • Demonstrated success working across interdisciplinary, multi-organization projects., • Based at one of Schmidt Sciences’ offices (New York, Baltimore), with the ability to travel periodically to partner sites and observatories.Desired Additional Skills, • Expertise with data pipeline and open source data management technologies, such as Apache Airflow, Kubernetes, PostgreSQL, Elasticsearch, object storage (e.g., S3-compatible)., • Experience architecting systems that serve petabyte-scale datasets and support high-throughput data access or query workloads., • Familiarity with cloud computing (AWS, GCP, Azure) and hybrid deployment strategies for science operations., • Knowledge of astronomy data formats and standards (FITS, VO protocols, ObsCore, TAP, ADQL)., • Understanding of FAIR data principles, data provenance systems, and long-term data stewardship., • Experience leading open-source scientific software projects or contributing to major community codes (e.g., Astropy, LSST stack, ESA Gaia tools)., • Awareness of machine learning and AI-assisted data processing trends relevant to next-generation observatories.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES · Selecting features, building and optimizing classifiers using machine learning techniques · Data mining using state-of-the-art methods · Enhancing data collection procedures to include information that is relevant for building analytic systems · Processing, cleansing, and verifying the integrity of data used for analysis · Doing ad-hoc analysis and presenting results in a clear manner · Creating automated anomaly detection systems and constant tracking of its performance · Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. · Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. · Research and implement novel machine learning and statistical approaches QUALIFICATIONS · Excellent understanding of machine learning techniques and algorithms · Experience with common data science toolkits and data visualization tools · Proficiency in using query languages such as SQL, Hive, Pig etc. · Good applied statistics skills, such as distributions, statistical testing, regression, etc. · Good scripting and programming skills such as Python · Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred · Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights · Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Data 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 Lead Data Scientist runs modeling and analytics projects to achieve business objectives and support Oscar's goals. You will report into the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses. Responsibilities: • Translates business goals into plans and tactics for the team, • Works with more senior leaders to establish longer term strategies and roadmaps, • Participates in team-wide technical and operations management responsibilities, • Interacts and collaborates closely with data and business management across functional areas, • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses, • Compliance with all applicable laws and regulations, • 6+ years of industry or other quantitative technical fields (which may include academia), • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field 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 DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. About The RoleVaro represents a new generation of fintech built on technology and innovation to empower consumers. We serve millions of Americans with our mobile app to make digital banking easy, convenient, and personalized. As a Senior Data Scientist (Machine Learning), you’ll get the chance to develop innovative models that affect millions of users in the fintech space. You’ll work with experienced Machine Learning Scientists as well as collaborate with your peers on exciting science problems in the fraud detection, risk modeling, personalization, operations, and causal inference spaces. About the Data Science TeamVaro’s Data Science Team develops Machine Learning models that make it easier for the right people to get access to funds, help protect customers from fraudsters, and transform the in-app experience with real-time recommendations. Unlike some organizations where data takes a support role, here at Varo data science is front and center. Since we are in hyper-growth mode, you will get to work on the most impactful data science problems from day one. We rely on advanced techniques in machine learning, cloud platforms, and data technology. We’re a team of PhDs and ex-academics with a collegial work atmosphere. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other and want to solve interesting problems to propel the company’s growth, apply now!What you'll be doing • Develop production-grade ML algorithms, such as fraud detection algorithms, recommender systems, dynamic credit risk models, and large-scale causal inference models, as well as processes for monitoring and analyzing their performance, • Leverage large data sets from different sources, and use modern modeling techniques such as tree-based methods, neural networks, and reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting, and other business outcomes, • Work with stakeholders throughout the organization to identify opportunities for driving business decisions or improving our product suite with ML, • Collaborate cross-functionally with the engineering team to deploy models and monitor outcomesYou’ll bring the following required skills and experiences, • An advanced degree in a quantitative field - computer science, engineering, statistics, operations research, economics, etc., • 4+ years of experience as a Data Scientist, Machine Learning Scientist, or Research Scientist as an individual contributor, including but not limited to relevant experience from your PhD research, • Experience applying a wide range of statistical techniques to large data sets, and understanding their real-world advantages/drawbacks, • Experienced in using Python for analysis, modeling, and visualization (numpy, pandas, scikit, nltk, matplotlib, etc.), • Ability to thrive in a fast-paced environment, • Strong bias for action and team player About VaroVaro launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country. Varo. A bank for all of us. Our Core Values- Customers First- Take Ownership- Respect- Stay Curious- Make it Better Learn more about Varo by following us:Facebook - - - Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: 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 DescriptionVoleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets. We are seeking an entrepreneurial Technical Lead in Data Science who is excited to get in on the ground floor of a growing securities business. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead – Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. Responsibilities • Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders., • Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies., • Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects., • Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility., • Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness., • Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews)., • Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements, • Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training., • 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution., • Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery., • Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas., • Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively., • Basic software development skills and experience with bash, linux/unix, and git, • Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations., • Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred, • Experience building or growing high-performing data science teams in production-aware or high-stakes settings., • Exposure to financial markets, trading systems, or quantitative research environments., • Familiarity with production monitoring systems, data quality pipelines, or analytics platform development., • 7+ years of experience managing data scientists.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

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 the Role We're seeking a Data & Business Intelligence Analyst to join our People team. This role blends technical BI expertise with workforce analytics, helping CoreWeave's leadership make data-driven decisions about our people, performance, and organizational effectiveness. You will own the design and delivery of dashboards, analytics, and reporting solutions—ranging from HR and workforce metrics to company-wide executive insights. Your work will connect data from multiple systems, ensure quality and accessibility, and transform complex information into compelling, actionable narratives for leaders at every level. What You'll Do • Develop and deliver reporting solutions that empower HR, People Operations, and senior leadership to make informed, data-driven decisions., • Design and maintain executive-level dashboards, establishing clear, consistent visualization standards across the People organization., • Lead workforce analytics initiatives, providing insights into employee experience, engagement, performance, and beyond., • Support system transitions, including Workday HRIS migration, ensuring data integrity and continuity during major changes., • Collaborate cross-functionally with Data Engineering, People Ops, Finance, and IT to align reporting needs, improve data accessibility, and drive strategic outcomes., • Model, query, and optimize large datasets using SQL and BI tools, translating technical analysis into meaningful business insights., • Analyze and interpret data from HR systems, surveys, and performance platforms (e.g., FreshService, Lattice) to identify trends and opportunities., • Establish and uphold data governance and visualization best practices, ensuring accuracy, consistency, and security across reporting., • Mentor colleagues in analytics techniques, fostering a culture of data fluency across HR and business functions. Who You Are Minimum Qualifications • 5+ YOE as a Data Analyst, Data Scientist, or Data Engineer, • Bachelor's degree in Data Analytics, Business, Economics, Computer Science, or a related field, or equivalent experience., • Experience with Workday reporting and analytics., • Experience supporting system transitions, including Workday HRIS migration and data migrations related to mergers and acquisitions (M&A), while ensuring data integrity and continuity during major changes., • Experience leveraging generative AI (GenAI) and modern analytics practices, such as LLM-powered data querying, AI-assisted visualization, automated data storytelling, and predictive insight generation to accelerate analysis and decision-making., • Expert proficiency in SQL and experience working with large, complex datasets., • Hands-on experience with Tableau (or equivalent BI tools like Power BI, Looker)., • Strong analytical and problem-solving skills, with the ability to distill complex findings into actionable insights., • Excellent communication skills—able to translate data into stories that influence senior leadership., • Familiarity with HR data sources (HRIS, ATS, survey tools, performance systems) and HR metrics., • Advanced experience with scripting languages (Python, R, or similar) for automation and analysis., • Experience querying data warehouses (e.g., Snowflake, BigQuery, Redshift, StarRocks)., • Knowledge of data governance and Global HR data privacy best practices., • Experience with Airflow, Spark, or other data orchestration and distributed computing tools is a plus. The base salary range for this role is $98,000 to $143,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 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 POSITION ANNOUNCEMENT Assistant Research Scientist Salary Grade 14 $52,753.00 - $63,167.00 Full-Time Position The Research Foundation for Mental Hygiene, Inc. is seeking highly skilled and motivated candidate to fill a full-time Assistant Research Scientist position in the Immunobiology and Immunotherapy Laboratory. The applicant should have extensive experience/expertise in mouse ischemia models, behavioral testing, molecular/cellular analysis, and have the skills with molecular technology. The successful candidate will contribute to studies investigating mechanisms of brain injury, testing novel therapeutic strategies in preclinical models, as well as assessing the therapeutic efficacy of immunotherapy in neurodegenerative diseases. This is a grant-based full-time position for 40 hours per week. Duties and Responsibilities: An Assistant Research Scientist will work closely with the Neurochemistry research team members and share the responsibilities that include but are not limited to: • Design and perform in vivo experiments using mouse ischemia models (e.g., MCAO, photothrombotic, or global ischemia models)., • Design and perform in vivo experiments to assess the efficacy of immunotherapy in mouse models of neurodegenerative diseases., • Administer drugs by intramuscular injection, intravenous injection, or intraperitoneal injection., • Conduct neurological and behavioral assessments (e.g., rotarod, open field, Morris water maze, neurological deficit scoring)., • Perform Western blotting, immunohistochemistry, and related molecular and histological analyses., • Manage animal colonies, perform surgeries, and ensure compliance with IACUC and institutional animal care protocols., • Maintain accurate and organized records of experiments, data, and results., • Collaborate with team members and contribute to data interpretation, presentations, and publications. Minimum Qualifications: • Bachelor's Degree or higher degree in biology or relevant field, • 1 year of experience in relevant field or 30 Graduate Hours. Preferred Qualifications: • Familiarity with RNA-seq technology and data analysis., • Familiarity with Nanobody and monoclonal antibody generation., • Familiarity with integrating multi-omics datasets (transcriptomics, proteomics, spatial data). To Apply: Submit a resume and cover letter on our website at: . Only applications submitted through our website will be considered. The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer. The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant. Job Posted by ApplicantPro

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The R&D Formulation Manager/Principal Scientist will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet quality and regulatory standards. This role involves providing expertise in formulation development, building and optimizing internal capabilities to deliver innovative and efficient solutions, and ensuring alignment with the company’s long-term technical vision to create a strong pipeline of customer-focused innovations. Key responsibilities include developing and characterizing formulations, recruiting and onboarding talent, managing technical collaborations with external suppliers and vendors, and integrating formulations into scalable manufacturing processes, whether in-house or through CDMOs. This role operates in a collaborative, cross-functional environment, requiring flexibility, a strong focus on scientific formulation, and a drive to explore new technologies and techniques in pursuit of robust, innovative materials and products. This is a senior technical role overseeing a small team. The R&D Formulation Manager/Principal Scientist is expected to be a subject matter expert in areas including polymer material science, formulation strategies, analytical chemistry, and biomaterial interactions with biological systems. They are responsible for ensuring high standards in research practices. They are responsible for leading the creation of documentation required for regulatory submissions, developing strategies for grants and publications, and securing non-dilutive funding through grant opportunities. They will report to the Vice President Technology. This is a full-time, on-site position, located in Brooklyn, New York. Responsibilities • Lead, staff, and manage formulation development teams and their efforts across multiple parallel product development opportunities, to launch new commercially successful products., • Provide sound scientific leadership, monitoring, and coaching through the initiation, planning and execution their team’s overall activities., • Create and lead experimentation for exploratory and/or product development research with focus on polymeric materials and their use., • Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures., • Lead material/design/process changes through design control process, with well-documented research/analyses., • Review and author protocols and reports including development studies and design verification/validation activities., • Develop and implement investigations into new technologies and capabilities, partnering with business development, that advance research team and company objectives., • Lead efforts in chemical and mechanical property evaluation to assess the desirability of process or formulation changes. Develop test method capabilities to support R&D (exploratory research, product development) and production test requirements., • Develop unique, proprietary (and ideally patentable) intellectual property that yields competitive advantage., • Lead and participate in voice-of-customer (VOC) labs and influence go-to-market strategies., • Interface with customers, suppliers, and internal cross-functional team members to develop specifications and coordinate prototype fabrication., • Work as part of a cross-functional team to develop, verify, and validate product designs through bench, in-vitro, and in-vivo testing and other assessments., • Ensure an effective documentation system is in place and utilized throughout the development process inclusive of R&D lab notebooks, design reviews, test methods, and test reports., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions,, • Act as research liaison between R&D and Quality Control to define product specifications., • Maintain active dialogue with Manufacturing to ensure successful technology transfer and process development, including the review of research-related documents, • Provide guidance and support to commercial teams, support introduction of new technologies with development of presentations, sales tools, formulations and applications data., • Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Master’s degree in Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely equivalent discipline., • A minimum of 10 years of research experience in developing and utilizing polymeric materials, biomaterials, or other complex materials toward product/application development and their manufacture, with at least 5 years in a non-academic setting., • A minimum of 2 years of direct management experience., • Adept experimentalist with hands-on research experience with polymers, coagulation chemistry, and materials science of complex systems, including the development of structure-property performance relationships in designing and characterizing these materials., • Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements, along with a fundamental understanding of the chemistry that drives the performance required. This includes strong analytical, problem-solving, and decision-making skills with the ability to be observant and to think creatively., • Direct experience in new product development from concept to regulatory approval through launch., • Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies is required., • Excellent verbal and written communication skills, with the ability to lead in a dynamic and collaborative environment is required., • Highly organized and detail-oriented, with the ability to extract key facts from complex information and create/present clear and concise technical documentation is required., • Demonstrated ability to lead and inspire teams and develop and mentor individuals, and allocate resources strategically and according to the portfolio priorities., • Requires strong leadership and organizational skills with a strong attention to detail and multi-tasking skills while simultaneously keeping overall “big picture” view of projects, priorities, and strategies., • Experience working under pressure with tight timelines, with the ability to maintain a sense of priorities, focus, urgency, and delivery., • Strong working knowledge of Microsoft Office., • Legal authorization to work in the United States. Preferred Qualifications • Ph.D. in a relevant discipline is strongly preferred., • Experience developing and commercializing products in a highly regulated environment, • Medical device development experience., • Demonstrated expertise in the use, development, and qualificication of material characterization techniques, including rheological, thermal, mechanical, spectroscopic, microscopic, and other chemical compositional methods., • Strong understanding of medical device regulatory requirements for Class II and III medical devices (e.g., 21 CFR Part 820), cGLP/cGMP, and related standards (e.g., ISO 13485)., • Strong understanding of cGMP, ICH guidelines, • Six sigma green belt or black belt certification., • Experience with executing a grant and publication submission strategy, knowledge of and strong track record with SBIR submissions to multiple agencies, including NIH and DOD is strongly preferred., • Demonstrated experience in Project Management and Product Lifecycle Management practices, and the ability to lead multiple projects simultaneously., • Excellent problem-solving skills and a proactive approach to addressing formulation challenges. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits BENEFITS • Competitive annual base salary range of $130,000 - $180,000, depending upon qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job DescriptionWhile we don't currently have roles open on our performance team, we're always on the lookout for incredible people, and slowly building a pipeline of candidates for our Performance Technician position. If you feel your experience and interests align with the following, and you're passionate about the space we're in and the athletes we serve, feel free to leave your résumé with us here. The Performance Technician is a part-time, hands-on role responsible for the administration of performance testing batteries within our sports science facility. This position supports a critical tier of our holistic human performance assessment, producing key metrics used by our medical and performance teams. As the in-person representative of our organization, the Performance Technician plays a pivotal role in delivering an exceptional member experience. The role involves direct engagement with elite and avid athletes, guiding them through sport-specific performance tests in a way that is clear, engaging, and aligned with their goals. We’re looking for someone with high energy and enthusiasm—someone who can keep members engaged, motivated, and excited throughout the full assessment experience. Technicians are expected to follow standardized procedures, operate cutting-edge sports science technologies, collect and organize performance data, and summarize key findings for internal stakeholders. Success in this role requires a strong background in coaching, customer service, sports science, and exercise physiology, as well as a deep appreciation for holistic health and wellness in the context of athletic performance. This position is based in New York City.Education & Certifications • Bachelors in Kinesiology/Exercise Science, or similar, • Certified Personal Trainer, Certified Strength & Conditioning Specialist, Clinical Exercise Physiologist, or similarExperience, • 2+ years experience as a Sports Scientist, Sports Performance Coach, or Personal Trainer, using data to drive clinical/performance decision making2+ years experience in a customer relationship rolePersonality, • Natural Leader: Unique ability to open doors in the potential of others, guiding them and supporting them toward their best, • Adaptable Conversationalist: Highly sociable, with an organic ability to form quick relationships; can quickly read the personality-type of a member, and adapt conversation style & tone accordingly, • Consistent Bringer of Energy: Contagious enthusiasm, that motivates members to engage and participate to the top of their abilities; consistently creates a lively environment, • Detail Oriented: Incredibly organized and attentive to detail, meticulous in assessment setup, flow, delivery, and data collection; thrives in a repeatable system mentality, • Confident Salesperson: Can comfortably explain the “why” of granular tests and holistic health, in a way that is individualized and sports-specific, • Health and Performance Obsessed: walks the talk of our members; active to the point of obsession, dialed and focused on personal holistic health principles (nutrition, sleep, mental health), believes and practices the necessity of taking proactive steps to improving life-long athleticismNice to Have, • Personal experience as an avid athlete or endurance sport competitor (specifically running or cycling), • Familiarity with DEXA body composition analysisResponsibilities, • Administer the sports specific testing batteries for members, including tests specific to mobility, motor control, strength, power, and aerobic capacity, • Learn and perfect the standard operating procedures of the test batteries (setup, directions, cues), ensuring the overall testing experience is seamless and repeatable, • Efficiently and accurately organize all data and results into the internal athlete management system, • Collaborate cross functionally with the medical and performance team, to ensure the athlete’s performance (both quantitative and qualitative) is fully understood, • Continually research performance tests, to assist in perfecting the companies testing batteries from an evidence based lens