Senior Staff Data Scientist

About Formation BioFormation Bio is a tech-driven pharmaceutical company that is revolutionizing drug development through advanced AI technologies. With the rapid advancements in AI and drug discovery, there is an increasing number of candidate drugs emerging, yet the industry faces challenges due to the high costs and lengthy durations of clinical trials. F…

Comity develops financial frameworks aimed at supporting the next generation of energy systems. The team’s mission centers on improving reliability, transparency, and efficiency in energy, with a long-term vision for fully renewable and autonomous systems. Statistical learning and convex optimization form the backbone of their technical approach. The company’s leadership includes Stanford alumni and professionals with expertise in complex systems, machine learning, and structured finance, drawing on experience from organizations such as Apple, Bluevine, Affirm, Square, and Google. Comity is backed by investors including Maverick Ventures and Caffeinated Capital. Offices are located in Chicago, New York City, and San Francisco. Role overview This Quantitative Researcher position centers on portfolio optimization for Comity’s power trading strategies. The role is based in New York. Early team members have a direct hand in shaping portfolio design, research priorities, technology choices, and company culture. What you will do Create information systems to monitor and guide multi-strategy, market-specific autonomous trading systems. Establish acceptance criteria for new trading strategies. Partner with risk management to conduct risk assessments and quantitative risk modeling. Collaborate with software engineers, quantitative researchers, and finance teams to bring new assets to market and reach business objectives. Requirements Experience managing P&L as a quantitative portfolio manager. Strong foundation in applied mathematics, probability, statistics, and numerical algorithms. Knowledge of optimization techniques used in finance. Proficiency in programming, particularly Python. Graduate degree in mathematics, statistics, machine learning, computer science, physics, or a related quantitative discipline. Strong communication and collaboration skills.

Join Lyft as a Senior Data Scientist specializing in Optimization, Central Market Management, and AI. In this pivotal role, you will leverage advanced analytics and machine learning techniques to drive data-driven decisions and enhance operational efficiency across our services. Collaborate with cross-functional teams to identify opportunities for optimization and develop innovative solutions that shape the future of transportation.

Welcome to Oscar, where we're redefining health insurance. We're on the lookout for a Senior Data Scientist to become a vital part of our Engineering team. Founded in 2012, Oscar is the first health insurance provider designed around a comprehensive technology platform, prioritizing our members' needs. Our mission is to create a health insurance experience that feels like having a trusted family doctor. About the Role At Oscar, we harness the power of high member engagement and innovative technology—like virtual care and superagent services—to make a significant impact on health outcomes. As a Senior Data Scientist, you'll craft personalized, multi-channel marketing campaigns aimed at influencing key health behaviors among Oscar members. Your responsibilities will include ideating and scoping business cases, designing targeted data pipelines using predictive models, launching campaigns, and monitoring and optimizing them in real-time to determine the most effective marketing strategies. You'll leverage both traditional statistical methods and advanced machine learning techniques to achieve these goals. This position requires close collaboration with our marketing and clinical teams, all focused on a shared objective: reducing medical costs. You will be accountable for each campaign's success and will report directly to the Senior Director of Data Science. Work Location: This is a hybrid role based in our New York City office, Los Angeles office, or Tempe office. It requires a hybrid work schedule of three days in-office each week, with an option for remote work if you reside in Boston or the San Francisco Bay Area. Thursdays are mandatory in-office days for team meetings and events, while the other two office days can be flexible. Pay Transparency: The base salary for this position ranges from $158,400 to $207,900 annually. You will also enjoy a comprehensive benefits package, participation in Oscar's unlimited vacation program, stock equity grants, and annual performance bonuses.

COMPANY OVERVIEWGlobal Atlantic Financial Group, a subsidiary of KKR, is a premier global investment firm specializing in alternative asset management and insurance solutions. We strive to deliver exceptional investment returns through a strategic, disciplined approach and by fostering growth in our portfolio companies and communities. Our extensive portfolio includes investment funds focused on private equity, credit, and real assets, along with a suite of retirement, life, and reinsurance products designed to meet the evolving needs of our clients.POSITION SUMMARYThe Portfolio Optimization & Construction team at Global Atlantic is dedicated to designing and refining asset allocations to fulfill financial and risk management objectives across our expanding insurance portfolio. We are currently in search of a quantitative investment analyst to further develop our asset allocation, pricing, and optimization frameworks with a particular emphasis on insurance asset-liability management (ALM).This role operates at the nexus of quantitative finance and insurance, contributing to portfolio construction for both reinsurance blocks and retail insurance products, while engaging in collaborative efforts with actuarial, risk, and investment teams.RESPONSIBILITIESPortfolio Construction & ALMDevelop and optimize asset portfolios for reinsurance blocks and retail insurance products (including annuities, life insurance, and pension risk transfer).Create asset allocation models that integrate regulatory capital requirements, duration matching, and cash flow analysis.Assist in pricing new business by modeling optimal allocations and projecting expected returns for potential transactions.Enhance the ALM framework to aid in deal assessment and portfolio structuring.Analytics & AttributionEstablish attribution frameworks to clarify portfolio performance across various asset classes, sectors, duration, and credit qualities.Examine market influences such as interest rate fluctuations, credit spreads, and equity volatility.Utilize quantitative methods to monitor portfolios while working in tandem with actuarial, risk, and finance teams.Prepare insightful presentations for senior investment committees and portfolio managers.Platform Development

Who We AreAt Percepta, our mission is to revolutionize essential sectors through applied AI. We are dedicated to ensuring that key industries, such as healthcare, manufacturing, and energy, leverage cutting-edge technology. By collaborating with industry leaders, we facilitate AI transformation.Expertise in engineering, product development, and research.Mosaic, our proprietary toolkit for swift deployment of agentic workflows.Strategic alliances with companies such as Anthropic, McKinsey, AWS, and others in the General Catalyst portfolio.Our team is rapidly expanding, consisting of Applied AI Engineers, Embedded Product Managers, and Researchers who are passionate about integrating AI advancements into our daily lives. Percepta is a direct partnership with General Catalyst, a global leader in transformation and investment.About the RoleAs a Research Engineer/Scientist (Optimization) at Percepta, you will play a crucial role at the convergence of AI research and impactful real-world applications. You will push the boundaries of decision-making in vital industries by integrating state-of-the-art machine learning with robust optimization research. Collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure that our advanced decision systems are both innovative and practically beneficial for transforming organizational operations.ResponsibilitiesEstablish and lead ambitious research initiatives that broaden the horizons of data-driven decision-making.Develop innovative optimization and machine learning methodologies for significant challenges such as planning, scheduling, routing, pricing, and inventory management.Create high-fidelity simulators and comprehensive benchmarks that accurately reflect real-world constraints, uncertainties, and multi-objective trade-offs.Translate research into practical applications by partnering with engineers to swiftly prototype solutions and effectively implement research insights.You May Be a Great Fit If YouHold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or possess equivalent research or industry experience.Have demonstrated experience in optimization and machine learning.Exhibit a strong ability to collaborate and communicate effectively across multidisciplinary teams.

Brooklyn Investment Group is a registered Investment Adviser with the SEC, utilizing cutting-edge technology from its parent company, Brooklyn Artificial Intelligence Research. This innovative approach combines advanced portfolio optimization with automated tax-loss harvesting, allowing us to create personalized investment strategies for a diverse range of clients, including financial advisory firms and asset managers.In the last five years, Brooklyn Artificial Intelligence Research has engineered one of the most sophisticated engines for tailored investment portfolios, successfully trading over $5 billion through these strategies.Our dynamic team of over 20 quantitative investors, machine learning experts, and software engineers hails from prestigious universities and leading financial institutions such as Goldman Sachs, Citadel, and Bridgewater Associates.Career Opportunity If you are passionate about the evolving integration of finance and technology, this position offers an exceptional opportunity. At Brooklyn, we are committed to harnessing the transformative power of technology to reshape portfolio management and trade execution. Join us in developing one of the industry's most advanced portfolio management platforms.As a Portfolio Management Engineer, you will serve as the primary point of contact for our clients, operational partners, and custodians. Your main responsibilities will include creating innovative tools to enhance portfolio management, streamline trade execution, and improve reconciliation processes. You will work closely with teams across quantitative analysis, engineering, research, and trading to foster seamless workflows and drive innovation.

Role Overview Analytic Partners is hiring a Senior Data Scientist in New York, NY. This position focuses on applying advanced analytical methods to support data-driven decisions across the organization. The Senior Data Scientist works closely with colleagues from various teams to create solutions that strengthen our analytics and contribute to meaningful business outcomes.

Join Mattel, Inc. as a Lead Data Scientist where you will play a pivotal role in shaping data-driven strategies that enhance our product offerings and drive business growth. You will collaborate with cross-functional teams to leverage data analytics, machine learning, and statistical modeling to derive insights and inform decision-making processes.

Data ScientistLocation: New YorkOn-site | Full-timeCompensation: CompetitiveJoin a leading technology development firm driving innovation at the forefront of digital asset launchpads. Our client operates with cutting-edge technologies, ensuring ultra-low latency and high throughput in the ever-evolving crypto landscape. This role is pivotal, as every technical deployment directly impacts a vast global audience.We are on the lookout for a skilled and adaptable Data Scientist who thrives in a dynamic and demanding environment. This position offers the freedom to unearth impactful opportunities, create advanced analytical solutions, and quantify their effects on products enjoyed by millions worldwide. Be part of a high-caliber team that champions first-principles thinking, ownership, and independence in a challenging ecosystem.Key ResponsibilitiesExperimentation & Optimization: Create, execute, and assess rigorous A/B tests to enhance user experience and engagement.Proactive Analysis: Uncover hidden issues and growth prospects through thorough data exploration.Insight Visualization: Develop and sustain comprehensive dashboards to monitor essential KPIs and illustrate complex user behaviors.Predictive Modeling: Craft advanced models to analyze user behavior and forecast outcomes in a fast-paced environment.Cross-Functional Collaboration: Collaborate with product and engineering teams to implement data-centric solutions ensuring technical feasibility.Project Ownership: Lead data initiatives from problem identification to solution execution and post-deployment assessment.Technical Communication: Simplify complex statistical insights into clear, actionable narratives for diverse stakeholders.Methodological Standards: Contribute to refining the organization’s data best practices and analytical methodologies.Work Style & EnvironmentIn-Person Collaboration: This role requires presence at our client's office.Intensity: Candidates should be prepared for unconventional hours and a fast-paced atmosphere where expectations are high and outcomes are immediate.

The Portfolio Data Operations Analyst at Addepar plays a key role in maintaining and enhancing the systems that drive portfolio data operations. Based in New York, NY, this position focuses on ensuring the quality and reliability of financial data used by both internal teams and clients. Responsibilities Manage daily operations related to portfolio data, keeping information accurate and up to date. Work closely with colleagues from different departments to safeguard data integrity. Help clients by making sure their financial data remains correct and useful for decision-making. Review existing workflows, identify areas for improvement, and recommend process changes. Support Addepar’s mission to provide dependable financial insights through precise data operations. Collaboration This analyst partners with cross-functional teams, contributing expertise to strengthen data processes and support client needs.

About RampAt Ramp, we are revolutionizing the way modern finance teams operate in the AI era. We see AI not merely as a trend but as the foundational element of future business practices. We are committed to investing in this transformative future and the visionary individuals who dare to shape it.Ramp is an innovative financial operations platform designed to streamline processes and enhance savings for companies. Our comprehensive solution merges payments, corporate cards, vendor management, procurement, travel booking, and automated bookkeeping, all enhanced by intelligent features to optimize the value of every dollar and hour spent. We have empowered over 50,000 businesses—from family-owned farms to e-commerce leaders and space startups—to save a remarkable $10 billion and 27.5 million hours with Ramp. Established in 2019, Ramp has emerged as the fastest-growing corporate card and bill payment solution in the United States, facilitating over $100 billion in transactions annually.Our esteemed investors include prominent names like Lightspeed Venture Partners, Thrive Capital, Sands Capital, General Catalyst, Founders Fund, Khosla Ventures, Sequoia Capital, Greylock, Redpoint, and ICONIQ, along with over 100 angel investors from leading companies. Our team comprises exceptional talent from top financial services and fintech firms, including Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, and Capital One, as well as tech giants such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.Ramp has earned accolades as one of Fast Company’s Most Innovative Companies and LinkedIn’s Top U.S. Startups for over three consecutive years, alongside being recognized in Forbes' Cloud 100, CNBC's Disruptor 50, and TIME Magazine’s 100 Most Influential Companies.About the RoleWe are on the lookout for a visionary Senior Data Scientist to spearhead our growth initiatives at Ramp. In this pivotal role, you will establish analytical frameworks and strategic roadmaps to optimize and scale our marketing investments across diverse brand channels. You will collaborate closely with teams in marketing, finance, and engineering, engaging in experimental design, statistical modeling, and implementation strategies to drive impactful growth.

Join our dynamic team at Northstar Staffing Solutions as a Data Scientist! In this role, you will leverage your analytical skills to interpret complex data sets and transform them into actionable insights. You will collaborate with cross-functional teams to drive data-driven decision-making and enhance business strategies.

Role Overview Spotify is looking for a Data Scientist focused on Subscriptions to help improve user experiences and make subscription services more effective. This role involves analyzing data and working closely with teams from different parts of the company. What You Will Do Analyze user and subscription data to find trends and opportunities for improvement Collaborate with product, engineering, and other teams to turn insights into action Support decisions that shape the future of Spotify’s subscription offerings Location This position is based in New York, NY.

Role Overview DoubleVerify is hiring a Senior Data Scientist I for its Rockerbox team at the NYC Global HQ. This role focuses on building models and algorithms to strengthen our products and help clients achieve better results. Work with large datasets and apply statistical methods to uncover insights that shape our data strategy. What You Will Do Analyze and interpret large, complex datasets to inform product development and client solutions. Develop predictive models and algorithms that support digital advertising quality and effectiveness. Collaborate with teams across the company to solve challenging problems and deliver actionable insights. About DoubleVerify DoubleVerify works to ensure digital advertising delivers real value through data integrity and measurement. The Rockerbox team plays a key role in advancing these goals.

Our Vision: To position New York City as the global leader in inclusive innovation and economic development, driven by the diverse talents and enterprises within the City. Our Mission: Creating a vibrant, inclusive, and globally competitive economy for all New Yorkers. Position Overview: We are looking for a detail-oriented and analytically adept Senior Associate to join our Cruise Portfolio team. This role provides a unique opportunity to contribute to a diverse portfolio that promotes economic development, environmental sustainability, and socially responsible urban tourism. As the Senior Associate, reporting directly to the Vice President of Cruise, you will play a crucial role in overseeing financial performance and employing data-driven strategies across the Cruise portfolio. Your expertise will directly influence decision-making processes aimed at achieving our goals.

Senior Data Scientist About Current Current is a pioneering fintech company in the U.S. dedicated to serving individuals often overlooked by traditional banking systems. As one of the fastest-growing firms in the sector, we proudly support nearly 4 million members. Our headquarters in New York City foster a results-oriented atmosphere that empowers our team to innovate, accelerate growth, and directly influence our mission to enhance financial outcomes for our members. About the Role At Current, data drives our decisions and strategies. As a Senior Data Scientist within our Data and Growth teams, you will specialize in machine learning modeling to develop predictive models that deepen our understanding of customer behaviors, enhance user experiences, and optimize member acquisition and retention strategies. This hands-on role centers on addressing complex challenges, creating and deploying machine learning models, and promoting data-informed decision-making. Your daily responsibilities will include data analysis, preparation, and structuring; constructing and refining predictive models; applying clustering algorithms; and collaborating with cross-disciplinary teams (Product, Engineering, Marketing) to integrate machine learning solutions into customer-centric strategies and processes.

Join Partiful in our mission to foster friendships through unforgettable social events.At Partiful, we believe that gatherings are the quintessential way to forge new connections and friendships. Our innovative platform empowers you to create exceptional events, starting with engaging party pages that simplify planning and enhance communication with guests. Download our app to experience the magic firsthand!We are dedicated to revolutionizing the way people plan and engage in real-world interactions, paving the way for meaningful connections among friends and acquaintances. Our ultimate goal is to streamline all in-person interactions, allowing you to effortlessly bring your most cherished memories to life. Discover more about our vision in esteemed publications such as The Washington Post, The New York Times, and The Wall Street Journal. Recently, Partiful was honored as Google’s Best App of 2024 and recognized as a finalist in Apple’s App Store Awards.

Axon Enterprise, Inc. develops devices and cloud-based software to address safety and justice challenges. The company emphasizes transparency, empathy, and values input from customers, communities, and employees. Skill development and making a real impact are encouraged throughout the organization. Role overview The Principal Data Scientist works within the Office of the Chief Accounting Officer in New York, NY. This position blends technical leadership with strong finance and accounting expertise. The core responsibility is to ensure AI developers, process owners, decision-makers, and auditors have access to clean, reliable, and audit-ready data. Main responsibilities Build data analytics tools and pipelines, dedicating about half of working time to these projects. Use AI to accelerate development for large-scale efforts, such as mergers and acquisitions (M&A) integration, ERP system implementations, upstream data remediation, and SOX compliance. Work closely with Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology teams to advance AI, automation, and audit readiness. Apply AI-assisted development tools, including code generation, copilots, and large language models, in daily tasks. Collaboration and impact This role partners with multiple departments to support strategic initiatives and establish the foundation for future automation and audit processes. The position plays a key part in shaping how data and AI drive Axon's finance and accounting operations.