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Experience Level
Senior
Qualifications
Master's or PhD in Data Science, Statistics, or a related field.5+ years of experience in data analysis and predictive modeling. Strong proficiency in Python, R, or similar programming languages. Experience with machine learning algorithms and data visualization tools. Excellent problem-solving skills and ability to communicate complex data insights effectively.
About the job
Join Lyft as a Senior Data Scientist in our Decisions team, focusing on Risk analytics. In this pivotal role, you will leverage data-driven insights to enhance decision-making processes and mitigate risks. You will collaborate with cross-functional teams to develop innovative solutions that drive business objectives.
About Lyft, Inc.
Lyft, Inc. is a leading ride-sharing platform dedicated to improving transportation in cities across the United States. Our mission is to create a world where transportation is accessible, affordable, and efficient. We value innovation, collaboration, and a commitment to excellence, making Lyft a fantastic place to grow your career.
Full-time|$168K/yr - $220K/yr|On-site|New York, NY
Our MissionAt Zocdoc, we believe that healthcare should prioritize patients. Unfortunately, many still face outdated insurance directories, long hold times, and unexpected bills. In contrast to other industries, healthcare leaves patients without the power to demand better service. We aim to change that. Our mission at Zocdoc is to empower patients by provid…
Full-time|$200K/yr - $250K/yr|On-site|New York, NY, United States
Our MissionAt Zocdoc, we believe healthcare should actively serve patients, not hinder them. Unfortunately, the current system relies on outdated insurance directories, long waits on hold, and unexpected bills. In any other sector, such a subpar experience would be unacceptable, yet in healthcare, patients often feel powerless. Our goal is to empower patients, making healthcare efficient and accessible. Zocdoc is dedicated to transforming the patient experience by providing an innovative healthcare marketplace. We facilitate easy access to both in-person and virtual care across all 50 states, covering over 200 specialties and more than 12,000 insurance plans. By putting the power back into patients' hands, we create a competitive environment that improves quality and reduces costs. With 18 years of leadership in the healthcare space, we are just beginning our journey. If you are passionate about solving complex challenges alongside a team of thoughtful and driven individuals, we would love to hear from you. Your Impact on our MissionAs a key player in our Marketplace Analytics team, your contributions as a Staff Data Scientist will be instrumental in reshaping healthcare for millions of patients. You will drive initiatives that enhance patient demand, refine our search and booking processes, and maintain a thriving marketplace.Your strategic leadership will involve designing and scaling analytical frameworks that inform product development and growth strategies. You will guide experimentation and optimize performance throughout the patient journey, from acquisition to booking and retention, thereby enhancing marketplace efficiency and value.
Full-time|On-site|New York, New York, United States
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.
Full-time|On-site|New York, New York, United States
Join Flex as a Senior Staff Data Scientist where your expertise in data analysis and machine learning will drive innovative solutions and enhance our data-driven decision-making processes. You will collaborate with cross-functional teams to extract valuable insights from complex datasets, enabling us to improve our products and services.
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.
Full-time|$170K/yr - $215K/yr|On-site|New York, NY; Boston, MA
About Formation BioFormation Bio is an innovative pharmaceutical company driven by cutting-edge technology and artificial intelligence, focused on significantly enhancing the efficiency of drug development. With the rapid advancements in AI and drug discovery, the pharmaceutical industry faces a challenge in advancing a growing number of candidate drugs due to the high costs and extended timelines associated with clinical trials. Formation Bio, originally founded in 2016 as TrialSpark Inc., has developed an array of technology platforms and processes designed to streamline all facets of drug development and clinical trials. By partnering with, acquiring, or in-licensing drugs from pharmaceutical companies, research organizations, and biotech firms, we aim to push development beyond clinical proof of concept, ultimately helping to deliver new medicines to patients quicker. Our company is supported by prominent investors from both the pharmaceutical and technology sectors, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, among others. To learn more, visit:Our Vision for AI in PharmaOur Current Drug PortfolioOur Technology & PlatformAt Formation Bio, our values are central to our mission to transform the pharmaceutical industry. Every team member contributes to our shared goal of delivering new treatments to patients more efficiently and effectively.
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
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.
Full-time|Remote|Remote — New York, New York, United States
Tiger Analytics is seeking a Senior Data Scientist with a focus on Agentic AI. This remote position is based in New York, New York. Role overview This role centers on applying advanced analytical methods to complex datasets. The Senior Data Scientist will use machine learning, statistical modeling, and data visualization to help clients make informed business decisions. What you will do Analyze large and varied datasets to uncover actionable insights Apply machine learning and statistical modeling techniques Develop data visualizations that clarify findings for clients Support clients in using AI to improve their business operations Requirements Expertise in machine learning, statistical modeling, and data visualization Experience working with complex datasets Background in Agentic AI is essential
Full-time|On-site|New York, New York, United States
Role overview flex seeks a Senior Data Scientist & Analytics specialist to support its Product team in New York. The main focus is on applying data analysis and statistical models to guide decisions and strengthen product results. Key responsibilities Collaborate with colleagues from multiple disciplines to examine complex datasets Identify and communicate insights that inform product strategy and development Use statistical modeling to assess and improve product performance Location This role is based in New York, New York, United States.
Full-time|$170K/yr - $220K/yr|On-site|New York, NY
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.
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.
Full-time|$165K/yr - $185K/yr|On-site|New York; Seattle, Vancouver, BC
impact.com builds a platform for brands to manage and grow partnerships across the entire customer journey. Over 5,000 companies, including major names like Walmart, Uber, and Shopify, use impact.com to oversee a network of more than 350,000 partnerships. Role overview The Senior Data Scientist, Programmatic Algorithms, joins the Programmatic Experience Group as an individual contributor. This role centers on designing and deploying machine learning models to optimize yield, pricing, and inventory allocation at scale. The work blends data science, platform engineering, and marketplace economics, directly influencing impact.com’s programmatic marketplace by balancing advertiser results with publisher monetization. This position offers significant autonomy and responsibility across the full machine learning lifecycle. Projects range from building data pipelines and engineering features to deploying real-time inference systems that support rapid decision-making. Regular collaboration with Product, Data Science, and Programmatic Delivery Engine Engineering teams is expected. What you will do Yield optimization and pricing models: Design and implement machine learning models for auction pricing, bid shading, floor price setting, and yield management across programmatic inventory. Who succeeds in this role Success in this position requires strong analytical rigor, practical machine learning engineering skills, and a genuine interest in both data science and engineering challenges. The role is based in New York, Seattle, or Vancouver, BC.
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.
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.
Join Lyft as a Senior Data Scientist in our Decisions team, focusing on Risk analytics. In this pivotal role, you will leverage data-driven insights to enhance decision-making processes and mitigate risks. You will collaborate with cross-functional teams to develop innovative solutions that drive business objectives.
Full-time|$100K/yr - $160K/yr|On-site|Brooklyn, NY 11232
Join Brooklyn Sports & Entertainment, a pioneering company that creates bold and authentic experiences that redefine sports, entertainment, and hospitality, known as The Brooklyn Way. As the parent organization of iconic entities like the Brooklyn Nets, NY Liberty, and Barclays Center, we operate at the dynamic intersection of live entertainment, premium hospitality, and community engagement.In expanding our diverse portfolio, we now encompass BK MAG, Brooklyn Wine Club, and several innovative location-based entertainment ventures. Our commitment to excellence drives us to continually evolve, innovate, and push boundaries to elevate our business and broaden our fan base.At Brooklyn Sports & Entertainment, we value a culture of belonging and inclusion, ensuring that every interaction reflects our core values—growth mindset, integrity, accountability, and care.
Full-time|$185K/yr - $220K/yr|Remote|Brooklyn or US Remote
About Us At Propel, we are dedicated to developing innovative technology that enhances the social safety net. Our enthusiastic team of around 100 Propellers strives for a future where every American is equipped with the necessary tools and resources to thrive. The Role We are seeking a Senior Product Data Scientist to influence key decisions regarding our core product, including our marketplace, aimed at creating significant business impact and improving the lives of our users. This role will involve conducting A/B testing, personalizing user experiences, performing business analytics, and conducting in-depth research to guide critical company decisions. The ideal candidate will possess strong data intuition, exceptional communication skills, and proficiency in both SQL and Python. Your Impact: Contribute to systems utilized by millions of low-income Americans. Drive transformation through impactful data analysis and investigations. Ensure reliable data pipelines to maintain data integrity. Collaborate with product teams, beginning with the marketplace team, and potentially working with teams focused on government benefits, marketing, and growth. Communicate effectively with team members throughout projects, including during code reviews and discussions.
Plaid is looking for a Senior Data Scientist with a focus on Credit to help shape the future of financial products. This position is based in New York and centers on applying advanced analytics to guide key decisions and improve credit offerings. Role overview This role involves close collaboration with teams across the company. The Senior Data Scientist will work to refine data models, support new and existing credit products, and contribute to projects that influence Plaid’s approach to credit in the financial sector. What you will do Analyze complex datasets to uncover insights that inform credit strategies Work with product, engineering, and business teams to enhance credit products Optimize and maintain data models that support credit decisioning Contribute to strategic initiatives that impact Plaid’s credit offerings Requirements Advanced skills in analytics and data science Experience working on credit-related products or models Ability to collaborate across multiple teams
Full-time|$157K/yr - $187K/yr|On-site|New York, New York
Teamwork Makes the Stream Work! Join Roku - Revolutionizing TV WatchingRoku is the leading TV streaming platform across the U.S., Canada, and Mexico, on a mission to empower every television worldwide. We pioneered the streaming experience and aim to connect consumers with their favorite content, support content publishers in audience growth and monetization, and offer advertisers unique opportunities to engage with consumers.From day one at Roku, your contributions will be valued as we’re a dynamic public company where every team member plays a vital role. Here, you’ll have the chance to enhance the experiences of millions of TV streamers globally, while gaining significant insights and experience across various disciplines. About Our TeamThe Core Analytics Team is a centralized unit focused on providing data-driven insights that foster business and product success. We collaborate closely with Product, Engineering, and Marketing teams to deliver outstanding customer experiences while maximizing business value. The RoleWe are seeking a Senior Data Scientist to join our Core Analytics team, specializing in Customer Intelligence within the broader Planning & Optimization group. Your role will involve answering critical business questions from senior leaders with clear, actionable insights. You’ll engage in customer analytics that directly influence Roku’s growth in engagement, retention, and monetization across the streaming ecosystem, working with cross-functional leaders and owning significant inquiries.This position sits at the nexus of analytics and business strategy. We need someone who can translate customer behaviors into metrics and narratives that help shape our customer strategy and measure the effects of initiatives on customer actions. You’ll transform vague stakeholder needs into compelling analytical narratives and executive-ready presentations. A significant aspect of this role involves assessing incremental impact and discerning genuine effects from noise. Familiarity with causal inference and experimentation is valuable; deep specialization is a bonus but not mandatory.For New York Only - The estimated annual salary range is $157,000 to $187,000.
