Data Scientist - Feature Engineering

About the Role Voleon is looking for a Data Scientist focused on Feature Engineering to join the team in New York City. This position centers on developing and refining features that improve the accuracy and effectiveness of machine learning models. The work involves transforming raw data into meaningful inputs for modeling, directly supporting the firm's data-driven decision making.

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.

Role overview phia seeks a Senior Data Scientist based in New York City. This role centers on applying analytical skills to support business decisions and shape company strategy. The Senior Data Scientist will handle large, complex datasets and use advanced statistical methods along with machine learning models to extract insights and forecast future trends. What you will do Examine diverse datasets to spot patterns and emerging trends Build and improve predictive models using statistical and machine learning approaches Present data-driven findings as clear, practical recommendations for stakeholders Contribute to strategic planning by providing insights grounded in data analysis

Flex is an innovative FinTech company based in New York City, dedicated to revolutionizing the rent payment process. In a world where timely rent payments are often cumbersome and costly, we are on a mission to provide renters with a more flexible and convenient solution. Our platform allows users to manage their rent payments in a way that aligns with their financial needs, making it easier to navigate this significant recurring expense. After building a solid investor foundation and a loyal user community while maintaining a low profile, we are now inviting passionate professionals to join our growing team. Are you ready to make an impact?As a Senior Data Scientist reporting to the Director of Analytics, you will play a pivotal role in driving Flex's strategic direction by leading key analytics initiatives across various departments, including Customer Support, Finance, Marketing, Product, and Strategy. Your expertise will be crucial in unraveling complex data challenges and translating insights into actionable strategies that enhance our business performance. The ideal candidate is deeply inquisitive, maintains high analytical standards, and expertly balances the need for rigor with the urgency of delivering impactful solutions.We are actively expanding our analytics team and are particularly focused on enhancing our Product, Partnerships, and Go-To-Market efforts.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are revolutionizing how individuals interact with personal finance. As a forward-thinking financial services company and national bank, we utilize innovative, mobile-first technology to empower millions of members to achieve their financial goals. The finance industry is undergoing a significant transformation, and we are leading the charge. Every day, we come to work with the knowledge that our efforts have a tangible impact on people's lives, guided by our core values. Become part of our mission to invest in yourself, your career, and the financial landscape.Your RoleThe Borrow Data Science team is on the lookout for a Senior Data Scientist who will play a crucial role in driving growth across our Lending sectors by converting raw data into actionable insights that fuel our success. This position is perfect for an inquisitive data scientist who is driven to discover insights in advance of requests.To excel in this role, you must function as a strategic partner; you are more than just a technical executor—you are an analytical storyteller who bridges the gap between intricate data and business strategy. You will leverage technical skills in SQL, Python, dbt, and Airflow to build robust pipelines in Snowflake, while your true influence will manifest through leading cross-functional initiatives and advocating for data-driven decisions that shape the product roadmap.Key ResponsibilitiesProactive Insight Generation: Harness your curiosity to explore data deeply, uncovering trends and opportunities that may be overlooked, and share these findings proactively with leadership.AI Innovation: Serve as a catalyst for AI integration within the team. Identify and implement AI tools and workflows that enhance data engineering tasks, expedite analysis, and drive substantial business results.Analytical Storytelling: Transform complex quantitative analyses into clear, convincing narratives that enable business leaders to make informed, high-impact decisions.Strategic Leadership: Collaborate with cross-functional teams to optimize core product decisions, including funnel conversion, experimentation, and unit economics.

Join Posh as a Senior Data ScientistAt Posh, we are on a mission to combat the growing loneliness epidemic exacerbated by digital social platforms. We empower individuals to forge real-life communities based on shared interests, creating a vibrant space for genuine connections.Our platform, designed by event organizers frustrated with current social tools, facilitates community building, event management, and monetization. In just five years, we've expanded to over 7 million users and processed more than $300 million in transactions, supported by $70 million in venture funding.Your RoleAs a Senior Data Scientist, you will play a pivotal role in developing our personalization and recommendation systems. You will lead the creation of our core algorithms, define our modeling strategy, and establish data standards organization-wide.Your responsibilities will encompass the full machine learning lifecycle, from identifying new data sources to evaluating model performance, directly influencing product experiences and user engagement.Collaboration is key; you’ll work closely with Product and Engineering teams to establish feature requirements and ensure the accuracy of our datasets. Your expertise will help maintain data integrity and model performance as we scale.This is an on-site position in our vibrant New York City office, located in the heart of SoHo. We believe in building live experiences and cultivating a passionate team environment.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and promoting longevity. Our mission is to leverage the latest scientific innovations to empower individuals to take charge of their health and realize their full potential. The heart of our success lies in our people, who embody our core values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeAs a fully virtual organization from the start, Hone is committed to maintaining a remote-first work culture.Our Ideal CandidateWe seek a mission-driven and enthusiastic multitasker who is passionate about impactful and fulfilling work. Our ideal candidate embraces change and faces challenges with vigor, adopting an “all-in” approach to their responsibilities in our fast-paced, high-growth environment. They excel in both independent and collaborative tasks and lead with transparent communication. They embody humble leadership, driving initiatives forward while remaining dedicated to continuous learning and development. Most importantly, they are committed to being part of a team that advocates for improved longevity and quality of life for all.The RoleWe are searching for a Senior Data Scientist in Healthcare Operations to join our data science team. In this pivotal role, you will report to the Sr. Director of Data, Analytics, and Machine Learning, focusing on the application of data science and AI to enhance clinical outcomes and boost physician productivity across Hone’s virtual care platform.You will collaborate closely with clinical leadership, product, and engineering teams to design, develop, and assess models and AI-driven workflows that facilitate care delivery, minimize operational challenges, and empower clinicians to utilize their skills fully. As a senior individual contributor, you will be responsible for executing and delivering high-impact, well-defined projects. This position is perfect for someone who thrives at the intersection of healthcare, data science, and applied AI, eager to make a tangible impact on patient care.

About HoneHone is a pioneering online medical clinic dedicated to revolutionizing healthcare and enhancing longevity. We leverage state-of-the-art scientific advancements to empower individuals to take charge of their health and realize their fullest potential. Our team is the core of our mission and plays a critical role in driving our success. We approach every initiative grounded in our brand values:Champion Patient NeedsExecute RelentlesslyCommunicate ConstructivelyCollaborate GenerouslyTurn Obstacles Into OpportunityGive With GratitudeSince our inception, Hone has embraced a fully virtual model and will continue to prioritize remote work.Our Ideal CandidateThe ideal candidate is a mission-driven, dynamic individual who thrives in fulfilling and impactful work. They are adaptive to change and tackle challenges with enthusiasm. With a commitment to excellence, they understand the fast-paced, high-growth nature of our organization and can manage both independent and collaborative tasks effectively. They lead with transparency and humility, driving initiatives forward while remaining open to continuous learning. They are passionate about contributing to a team focused on helping people live longer, healthier lives.The RoleHone is seeking a Senior Data Scientist, Marketing to enhance our expanding data team. Reporting to the Sr. Director of Data, Analytics, and Machine Learning, you will collaborate closely with Marketing, Growth, and Product teams to boost customer acquisition, conversion, and retention through insightful data analysis and modeling.Your primary focus will be on developing and applying statistical models, conducting experiments, and performing analyses that inform marketing strategy, optimize funnel performance, and enhance customer lifetime value. This senior individual contributor role offers significant ownership over execution and delivery, ideal for someone who excels at transforming business inquiries into machine learning solutions while producing high-quality work independently and fostering cross-functional collaboration for measurable outcomes.Primary ResponsibilitiesYour key responsibilities will include (but are not limited to):Collaborate with Marketing teams to analyze and enhance the entire customer funnel, encompassing acquisition, conversion, retention, and churn.Develop and maintain robust statistical models and...

**This position may offer the flexibility of remote work for up to 2 days per week, under the Flexible Work Pilot Program.**The NYC Department of Consumer and Worker Protection (DCWP) stands as the foremost municipal enforcement agency in the United States, dedicated to fostering economic justice. The DCWP utilizes its regulatory power to provide New Yorkers with tangible economic relief and shield them from predatory, misleading, and unfair practices that infringe upon their consumer and worker rights. This includes the implementation of innovative protections, such as the City’s Consumer Protection Law, Protected Time Off Law, Fair Workweek Law, and Delivery Worker Laws. By licensing over 45,000 businesses across more than 45 industries, DCWP promotes fair competition and a level playing field, essential for the responsible small businesses that underpin New York City’s dynamic communities. Furthermore, DCWP offers vital services like free tax preparation and financial counseling, ensuring that New Yorkers can retain more of their earnings and plan effectively for their futures. Committed to making New York City a fairer and more affordable place to call home, DCWP invites you to learn more by visiting their website at nyc.gov/dcwp, subscribing to their newsletter, or following them on platforms like X, Facebook, Instagram, and YouTube.The Office of Labor Policy & Standards (OLPS) is responsible for enforcing the City’s worker protection laws, including the Protected Time Off Law, Fair Workweek scheduling laws for fast food and retail workers, and Delivery Worker Laws that protect independent contractors in the delivery industry. OLPS administers the Freelance Isn’t Free Act (FIFA) program, which aids freelance workers facing wage theft and other violations. We work diligently to secure monetary compensation for affected workers and ensure corporate compliance with the law. More information regarding our office can be found at nyc.gov/workers.OLPS is searching for a Data Scientist to play a pivotal role in enforcing groundbreaking legal protections for workers. The Data Scientist will collaborate closely with the Office’s Investigation and Litigation teams to formulate and execute strategies for discovering, collecting, and analyzing employer data related to compliance with city workplace laws. Responsibilities will include utilizing this data to uncover violations of NYC workplace laws, verifying claims from both employers and workers, calculating employee relief and civil penalties, and guiding investigators in gathering testimonial evidence and other documentation. The Data Scientist will also contribute to the development of systems aimed at automating and standardizing data collection and analysis, playing an essential role in ensuring that working New Yorkers can access their legal protections. Since its inception in 2016, OLPS has garnered a reputation as a leader in leveraging data analytics within its domain, and the successful candidate will be joining a growing and innovative team of data professionals.

About UsPomelo Care is at the forefront of evidence-based healthcare for women and children across the nation. We provide personalized, high-quality clinical interventions from reproductive health and pregnancy to pediatric care and hormonal health management through perimenopause and menopause. Our approach emphasizes long-term preventive care and effective management of medical conditions. With a commitment to 24/7 multispecialty care, we address the medical, behavioral, and social determinants that significantly affect health outcomes for women and children. Partnering with payers, employers, and healthcare providers, we strive to enhance access to quality healthcare throughout the system.Role OverviewYour Mission: To develop innovative, data-centric products that enhance patient engagement and retention, ultimately improving the lives of mothers and their children.We are seeking a seasoned Staff Data Scientist to spearhead the data strategy within our Growth and Patient Experience team. This pivotal role focuses on two key areas: refining our top-of-funnel strategy to drive patient enrollment and advancing the creation of next-generation products that maintain patient engagement throughout their healthcare journey. Key responsibilities include:Developing expertise in patient behaviors, engagement patterns, and retention factors, while taking ownership of the team’s data science roadmap and influencing Pomelo's patient experience strategy.Collaborating intensively with the Marketing team to craft and optimize a multi-channel enrollment strategy, including building attribution models, analyzing funnel conversion rates, and determining the most effective resource allocation for patient enrollment.Defining and iterating on essential business health metrics, such as enrollment and retention rates, and presenting insights to Pomelo’s leadership team.Conducting exploratory analyses to inform the development of features aimed at enhancing enrollment and engagement, such as categorizing conversation topics and segmenting patient journeys.Establishing robust data pipelines and analytics infrastructures to integrate external, marketing, and product usage data, creating a cohesive view of the patient journey.Leading the team’s A/B testing strategy across marketing and product initiatives to accurately measure impact.Working closely with Product, Clinical, and Engineering teams to translate patient insights into actionable improvements and new feature developments.

Join Crosby as a Data Scientist, where you will leverage your analytical skills to transform data into actionable insights! In this role, you will work closely with cross-functional teams to develop predictive models and drive data-driven decision-making across the organization. Your expertise will help us innovate and enhance our products and services.

Join us at Oscar as a Data Scientist II in our dynamic Data team, where your expertise will help shape the future of health insurance.Founded in 2012, Oscar is pioneering a new era in health insurance, built on a cutting-edge technology platform and an unwavering commitment to our members’ needs. We aim to create a health insurance experience that is as reassuring and dependable as a family doctor.About the Role:As part of Oscar's data team, you will delve into the intricate world of healthcare and insurance analytics. Our organization possesses a wealth of data, encompassing financial claims, clinical medical records, and member interaction insights. By effectively integrating and analyzing these datasets, we gain profound insights that enhance care coordination, optimize risk management, and elevate the consumer experience.In your role as Data Scientist II, you will spearhead data science initiatives across various teams and domains. You will be responsible for managing analytical projects, providing technical guidance, and collaborating closely with stakeholders in business, engineering, product, and data to deliver meaningful solutions.This is a mid-level position ideal for data scientists who are adept at working autonomously, thriving in ambiguity, and applying advanced analytical techniques with minimal supervision.You will report to a leader on the Data team (Senior Data Scientist or above). This job posting may represent several openings, and the final placement will be determined during the interview process.Work Location: This is a hybrid role based in our New York City office, Los Angeles office, or Tempe office, requiring a schedule of 3 days in the office each week. Thursdays are mandatory in-office days for team meetings and events, while the remaining two office days can be flexible to accommodate your schedule. #LI-HybridPay Transparency: The base salary for this position ranges from $131,200 to $172,200 annually. Additionally, you will have access to employee benefits, participation in Oscar's unlimited vacation program, equity grants, and annual performance bonuses.

Join Alloy and Make a Difference! At Alloy, we tackle the identity risk challenges faced by companies offering financial products. We empower over 800 of the world's leading financial institutions and fintechs to combat fraud, manage credit, and ensure compliance risk, all while enhancing their understanding of their customers. Our core values—Be Bold, Get Scrappy, Collaborate, and Celebrate Our Differences—foster a nurturing work environment where you can excel and feel a true sense of belonging. Year after year, we have been acknowledged as one of Inc. Magazine’s Best Workplaces, Forbes America’s Best Startup Employers, and recognized as a Best Fintech to Work for by American Banker. To learn more about our mission and values, visit us here.

Role Overview suno is looking for a Data Scientist focused on Content and Social Media to join the team in NYC. This role centers on analyzing data to inform content direction and strengthen the company’s social media impact. What You Will Do Analyze content and social media data to uncover actionable insights Work with teams across the company to develop recommendations based on data findings Help optimize campaigns and measure their effectiveness Support the growth of suno’s content and social media initiatives through data-driven decisions

About PicklePickle is an innovative peer-to-peer rental marketplace that transforms the untapped potential of countless underutilized items in consumer closets into a thriving rental ecosystem. We simplify the process of renting high-quality products precisely when our customers need them, offering fast, convenient fulfillment that rivals traditional shopping experiences.Our vision is to create a unique commerce layer driven by dynamic local supply, making access more convenient for everyone. Pickle is rapidly expanding across the nation, with a significant presence in key local markets such as New York City, Los Angeles, and Miami. Our extensive marketplace boasts over 300,000 items available for rent, and we are just getting started.What sets Pickle apart is our remarkable peer-to-peer inventory, unparalleled convenience (with delivery times of under 2 days nationwide and under 2 hours locally), and a flexible, subscription-free model that allows users to rent exactly what they want, when they want it. Supported by our Series A funding secured in early 2025 from prominent investors like FirstMark and Craft, we are on a path to redefine access-driven shopping.About The RoleAs a Data Scientist at Pickle, you will serve as a strategic partner to our Founders, tackling the critical question: How do we scale efficiently?In this role, you will analyze the intricate dynamics of our two-sided marketplace. One moment, you may find yourself modeling price elasticity to understand how a 5% discount impacts our contribution margins. The next, you might delve into referral data to craft a viral loop that can halve our customer acquisition cost. Your mission is to uncover the underlying reasons behind every data trend, identifying friction points that hinder progress and behaviors that can catalyze substantial growth.If you are a driven individual who thrives on solving challenging problems and is relentless in your pursuit of solutions, this role is your ideal playground.ResponsibilitiesGrowth Strategy & AcquisitionPricing & Incentive Strategy: Develop and test dynamic pricing models and incentive schemes (e.g., first-order discounts, owner bonuses). Your analysis will help us stimulate demand and enhance conversion rates while protecting our contribution margins, ensuring each discount drives long-term ROI.The Growth Equation: Analyze our acquisition channels (Organic, Paid, Referral, Ambassadors) to identify which have the highest lifetime value to customer acquisition cost (LTV/CAC) ratios, guiding our investment strategies.

Join our dynamic team at Suno as a Senior Data Scientist specializing in Content and Social Media. We are seeking an innovative professional who is passionate about leveraging data to create impactful strategies that drive engagement and growth across various social platforms. Your expertise will be instrumental in analyzing trends, developing models, and optimizing content strategies to enhance user experience.

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.

At Garner Health, we are on a mission to revolutionize the healthcare economy by delivering high-quality and affordable care for everyone.We are fundamentally reshaping the way healthcare operates in the U.S. by collaborating with employers to redesign healthcare benefits through transparent incentives and robust, data-driven insights. Our innovative approach empowers employees to access higher-quality, lower-cost care, creating a system that benefits all stakeholders. Patients experience improved health outcomes, employers utilize healthcare funds more effectively, and physicians are acknowledged for providing outstanding care instead of merely increasing the number of procedures performed.Garner is among the fastest-growing healthcare technology companies in the nation. Our products are trusted by the most discerning employers and providers in the industry, and we are assembling a team of talented, mission-driven professionals who are eager to create a significant impact on healthcare at scale.About the Role:We are in search of an exceptional Data Scientist II to join our Central Data team. Reporting to the Director of Data Science & Analytics, this pivotal role is crucial in shaping Garner’s Product & Growth strategy—from assessing product impact to developing models that drive user engagement. You will work in tandem with data, product, and engineering teams to enhance the effectiveness of Garner’s member-facing product by addressing questions such as, “Which features drive user engagement?”, “What is the optimal time and channel for member outreach?”, and “What data concepts must we expand to better understand what motivates members to engage with Garner?” Your contributions will have a direct influence on our member-facing products and guide strategic product decisions.Where You Will Work:This position is based in our New York City office, with a requirement to work on-site three days a week (Tuesday, Wednesday, and Thursday).Your Responsibilities:Identify and evaluate product success through goal setting, A/B testing, forecasting, and monitoring key product metrics to discern trends.Oversee projects from inception to completion, including problem definition, implementation, validation, and iteration.Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI and machine learning models.Collaborate cross-functionally with data scientists, product leaders, engineering, and operations teams to define metrics and success criteria.

Join Arlo Technologies, a leader in innovative security solutions, as a Data Scientist. In this role, you will analyze complex datasets to drive insights and enhance our product offerings. You will collaborate with cross-functional teams to develop predictive models and algorithms that optimize our services, ensuring a seamless experience for our users.Your analytical skills will contribute to shaping the future of smart security, providing you with the opportunity to make a significant impact in a rapidly growing field.

Role Overview firststreet is hiring a Senior Data Scientist in New York City. This position focuses on building predictive models, analyzing large datasets, and turning complex data into practical insights that support business goals. What You Will Do Design and implement predictive models using machine learning and statistical methods Analyze complex datasets to uncover trends and patterns Work closely with colleagues from different teams to translate data findings into actionable recommendations Support business strategy and decision-making through advanced analytics Help strengthen firststreet’s overall data capabilities Who We’re Looking For Experienced in data analysis, machine learning, and statistical modeling Comfortable working with large and complex datasets Skilled at collaborating with cross-functional teams