Staff Data Scientist (Product & Operations)

Why Choose Charlie Health?Across the nation, countless individuals are grappling with mental health challenges, substance use disorders, and eating disorders. Unfortunately, many face significant barriers when seeking help, including limited local options, lengthy wait times, and a lack of personalized treatment. At Charlie Health, we are committed to changing this narrative.Our mission is to connect individuals with essential behavioral health treatment. We provide tailored, virtual care that fosters connections—between clients and clinicians, care teams, family members, and supportive communities. By concentrating on those with complex needs, we are enhancing access to meaningful care and achieving better outcomes from the comfort of home.As a dynamic and expanding organization, we are reaching more communities daily and assembling a team that is reshaping the landscape of behavioral health treatment. If you are passionate about using your expertise to effect lasting change and help individuals access the care they need, we’d love to connect with you.About the RoleIn your capacity as a Staff Data Scientist, you will serve as a key thought leader and technical guide across various teams, including Product, Engineering, Design, Operations, and Clinical. Your expertise will aid the organization in rigorously leveraging data and applying statistical methodologies. You will provide seasoned insights that will refine the team's strategic thinking and inform their roadmaps, ultimately driving impactful outcomes. As a proactive cross-functional collaborator, you will be sought after to tackle challenges and effectively bridge the divide between technical and non-technical stakeholders, elevating the capabilities of those around you.Join our passionate, forward-thinking team as we rise to meet the challenges of the mental health crisis and play a pivotal role in delivering life-saving solutions. If our mission resonates with you and you find motivation in enhancing access to mental healthcare, apply today!

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.

About UsBaton Corporation is a cutting-edge development firm responsible for the complete technology stack that powers pump.fun, the world's leading memecoin launchpad currently in operation. Our systems are designed for low latency and high throughput, operating under continuous load where precision is crucial.Your RoleWe are looking for a highly skilled and adaptable Data Scientist who excels in a dynamic environment. In this position, you will have the autonomy to discover opportunities, create and apply solutions, and evaluate their effectiveness across our product line. You will work closely with various teams while taking full responsibility for your projects from inception to execution.Design, execute, and analyze A/B tests to enhance our consumer product experience.Identify potential challenges and opportunities through detailed data analysis.Create and maintain dashboards to track essential metrics and present insights visually.Develop predictive models to analyze user behavior and forecast outcomes.Collaborate with product and engineering teams to deliver data-informed solutions.Lead projects independently from identifying problems to implementing solutions.Effectively communicate complex results to both technical and non-technical audiences.Contribute to establishing data best practices and methodologies.Your ProfileA minimum of 3 years of data science experience in a startup, scale-up, or a recognized firm like FAANG.Proficient in Python/R and SQL/BigQuery.Extensive experience in designing, conducting, and interpreting A/B tests on consumer products.Proven ability to manage projects autonomously from the idea stage to implementation.Experience in translating data insights into actionable strategies.Exceptional communication skills, capable of presenting complex findings clearly.Preferred SkillsKnowledge of cryptocurrency and blockchain data.Strong data visualization capabilities, particularly with tools like Omni/Looker.Experience with event tracking data.

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.

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.

At Headway, we are on a profound mission to transform mental health care, making it accessible to everyone. Our innovative technology connects individuals with exceptional therapists through the first software-enabled national network of providers who accept insurance.In the U.S., 1 in 4 individuals faces a treatable mental health condition. Unfortunately, many providers do not accept insurance, rendering therapy unaffordable for a large segment of the population. Headway is pioneering a new mental healthcare system that simplifies the process for therapists to accept insurance and expand their practices.Founded in 2019, Headway has evolved into a diverse, national network comprising over 60,000 mental healthcare providers across all 50 states. Our software has served more than 1 million patients, and we are proud to be a Series D company with over $325 million in funding from esteemed investors including a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures, and Health Care Service Corporation.We aspire for your journey with us to be the most fulfilling chapter of your career. Join us and contribute to the positive transformation of mental healthcare.About the RoleBecome a part of our team to create a decision engine that fosters better mental health outcomes.As a Staff Data Scientist specializing in Product Analytics, you will serve as a key technical and strategic leader, guiding how Headway measures, learns from, and enhances its services. You will tackle complex and ambiguous product questions, shape our metrics of success, and influence decisions that span various teams and product dimensions. Your role will encompass not only performing analyses but also impacting our product development, evaluation processes, and scaling successful initiatives.This position is ideal for an individual who can navigate the details of metric definitions while also strategizing measurement approaches for significant product areas, effectively bringing the organization along in the process.What You Will DoIn addition to the responsibilities of a Senior Data Scientist, you will:Own a product measurement strategy. Define key metrics for major product areas, align stakeholders on definitions, and build consensus on what constitutes success.Lead multi-team initiatives. Drive cross-functional projects where the solutions are not immediately clear, ensuring we achieve measurable results.Set the standard for experimentation. Develop frameworks for test design, decision-making guidelines, and interpretations that enhance both speed and rigor across teams.Develop impactful analytics. Innovate methods for deriving insights that inform product development and user engagement.

Iterative Health seeks a Staff Data Scientist based in either Cambridge, MA or New York, NY. This position centers on applying data science to enhance healthcare solutions. The role involves collaborating with professionals from various backgrounds and specialties. What you will do Analyze complex datasets to uncover patterns and insights that support decision-making across the company Build predictive models aimed at improving healthcare outcomes Work closely with cross-functional teams to translate data findings into actionable recommendations Location This role is open to candidates in Cambridge, Massachusetts or New York, New York.

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.

Be a Part of the Future of Finance.At Robinhood, our mission is to make financial services accessible to everyone. With an astonishing $124 trillion in wealth expected to transfer to younger generations within the next two decades, we invite you to be part of this monumental shift in finance and culture. If you're ready to make a difference, we want to hear from you.About the Role and TeamJoin our elite Data Science team as we tackle some of the most significant financial challenges through innovative technology. We are seeking creative thinkers and skilled problem-solvers who are passionate about making a meaningful impact. At Robinhood, we thrive in a fast-paced environment where high expectations are met with high rewards. Our Brokerage team is dynamic, collaborative, and dedicated to driving innovation across our suite of products.As a Senior Data Scientist, you will collaborate with cross-functional partners in product, engineering, user research, design, marketing, finance, and operations. Your expertise will help us leverage data to enhance our brokerage services and deliver exceptional value to our customers. We are looking for a results-driven leader to propel product growth through rigorous experimentation and strategic data analysis, influencing our roadmap and enhancing the trading experience for millions.This position is based in our New York office, with in-person attendance required at least three days a week.We believe that in-person collaboration accelerates progress, promotes innovation, and builds a strong community. Our office environment is designed to inspire and support high-performing teams.ResponsibilitiesConduct in-depth analyses to pinpoint product growth opportunities and enhance key business metrics.Design, execute, and assess A/B tests, including causal inference analyses to gauge the impact of product modifications.Establish and track essential product performance metrics; create scalable dashboards for monitoring and decision-making support.Collaborate with stakeholders to translate data insights into actionable strategies for product improvement.

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.

At Garner, we are on a mission to revolutionize the healthcare economy, ensuring everyone has access to high-quality and affordable care.We are fundamentally rethinking the healthcare landscape in the U.S. by collaborating with employers to reshape healthcare benefits through clear incentives and powerful, data-driven insights. Our innovative approach empowers employees to access higher-quality, lower-cost care, establishing a system that benefits all stakeholders. Patients enjoy improved health outcomes, employers utilize healthcare dollars more efficiently, and physicians are rewarded for delivering exceptional care rather than merely increasing procedures.Garner is recognized as one of the fastest-growing healthcare technology companies nationally. Our solutions are trusted by leading employers and healthcare providers, and we are assembling a team of passionate, mission-driven individuals eager to create a significant impact on healthcare at scale.About the Role:We are in search of a remarkable Staff Data Scientist to join our Garner Health Intelligence team, focusing on advancing our provider data insights. In this role, you'll collaborate with clinical researchers, data scientists, and data engineers to refine the models and rules we use to assess provider performance. Your contributions will directly influence member recommendations and our provider-facing data products.As a technical leader, you will elevate our analytical standards, enhance model-building processes, and mentor team members in deploying data science code.Work Location:This position is based in our New York City office. Candidates must be available to work onsite three days a week, specifically on Tuesdays, Wednesdays, and Thursdays.Your Responsibilities:Collaborate with product managers and clinical experts to lead projects that shape our definitions and measurements of provider cost and quality.Drive the development and enhancement of tools for writing, assessing, and integrating rules that measure provider behavior.Design and maintain data-driven algorithms, including AI and machine learning models, to enhance our estimates of provider recommendations.Act as a subject matter expert in statistical modeling, refining evaluation methods for current models and future modifications.Work alongside data engineers to create scalable data pipelines that effectively ingest, clean, and enrich healthcare provider data.Engage cross-functionally with product, engineering, research, and operations teams to convert business needs into data-driven solutions.Define data science methodologies and best practices for the team.

As a Senior Data Scientist at VideoAmp, you will play a pivotal role in driving data-driven decisions and strategies that impact our business outcomes. You will leverage your expertise in statistical analysis, machine learning, and data visualization to develop innovative solutions that optimize our products and services. Collaborate closely with cross-functional teams to understand business needs and translate them into analytical frameworks, ensuring the highest quality of data insights.

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.

About Us At Propel, we are dedicated to creating innovative technology that enhances the social safety net for all Americans. Our team of approximately 100 passionate individuals is committed to ensuring that everyone has the resources they need to succeed. The Role We are on the lookout for a Product Data Scientist who will play a crucial role in shaping our core product offerings, including our marketplace. This position is pivotal in driving impactful business decisions and enhancing the lives of our users through insightful data analysis, A/B testing, personalization, and comprehensive research. The ideal candidate will possess a strong intuition for data, exceptional communication abilities, and proficiency in SQL and Python. Your Impact: Contribute to software systems that serve millions of low-income Americans. Drive transformative change through insightful data analysis and investigations. Maintain robust data pipelines to ensure the integrity and trustworthiness of data. Collaborate with product teams, starting with the marketplace team, and extending to government benefits, marketing, and growth teams. Communicate effectively with team members throughout projects and code reviews. Qualifications: 5+ years of experience in a startup environment. Proficiency in SQL and either Python or R. Experience leading research initiatives on product and system enhancements. Exceptional ability to translate questions into data-driven insights with appropriate complexity. Quantitative mindset with a strong foundation in probability distributions, causal inference, and cost-benefit analysis. Experience in a startup setting or the capability to thrive in ambiguous situations. Strong communication skills for both technical and non-technical audiences. Eagerness to learn new methodologies and robust prioritization skills. A genuine passion for making a positive impact on our users' lives. Preferred: Experience in developing production machine learning systems. Desirable: Familiarity with government services, particularly safety net services like SNAP, WIC, TANF, SSI, SSDI, Medicaid, and Section 8. At Propel, you will enjoy: Meaningful work with a strong shared mission. A remote-friendly work environment with a pet-friendly culture.

Role overview Peloton Interactive, Inc. seeks an E-commerce Data Scientist specializing in Product Analytics for its New York, New York office. This role uses data-driven methods to enhance Peloton’s digital marketplace, aiming to refine product offerings and create a stronger user experience. What you will do Collaborate with teams throughout the company to define and monitor important product metrics Study consumer behavior and purchasing trends within the e-commerce platform Deliver insights that guide product strategy and decision-making Assist in optimizing profitability while ensuring customer needs are met Impact The work in this position directly influences the direction of Peloton’s e-commerce products. Insights and recommendations will help shape future offerings and contribute to key business results.

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.

Role overview Cockroach Labs seeks a Staff Product Manager to focus on Data Onboarding in New York, NY. This role centers on improving the migration experience for CockroachDB, the company’s distributed SQL database. The position involves shaping both strategy and execution for moving data from databases such as PostgreSQL, Oracle, MySQL, and SQL Server into CockroachDB. What you will do Lead the full data onboarding experience for CockroachDB, focusing on migrations from major relational databases. Develop and refine strategies to make migrations fast, reliable, and straightforward, aiming for a transition from schema introspection to data loading in under an hour. Direct product decisions for schema conversion, bulk data ingestion, compatibility checks, and live cutover. Work closely with engineering and design to build AI-enhanced tools that simplify complex migration steps. Ensure the onboarding process supports a wide range of source databases and addresses customer needs. Requirements Extensive experience in product management, particularly with database or data migration products. Strong grasp of the challenges involved in transferring data between different database systems. Ability to design solutions that balance technical complexity with a smooth user experience. Customer focus, with a commitment to making adoption of CockroachDB as seamless as possible.

At January, we are revolutionizing consumer finance by infusing empathy into our offerings. Our innovative, data-driven solutions enable financial institutions to enhance their collections processes, providing borrowers with clear, compassionate pathways to reclaiming financial stability and control over their lives. We are not merely expanding access to credit; we are restoring dignity and empowering millions to achieve true financial freedom.About the RoleAs the Lead Data Scientist in Product Analytics, you will be pivotal in influencing our product strategy through comprehensive data analysis, visualization, modeling, and experimentation. Collaborating closely with product managers, your insights will directly shape the journey for users striving to overcome debt and regain financial stability.What You’ll Work OnYou will serve as a strategic partner to product managers, empowering them to make informed, data-centric decisions, conduct experiments, and assess the evolution of our critical success metrics. You will develop expertise in our datasets, providing impactful recommendations to enhance our products and processes. Additionally, you will help bolster January’s reputation as a sophisticated, data-focused collection agency, collaborating with the operations team to ensure our client success managers are well-equipped to address inquiries and engage in client conversations seamlessly.What You Bring to the TableA minimum of 2 years of experience utilizing SQL for data analysisProficiency in programming languages such as Python or R for conducting advanced statistical analysesStrong medium to advanced knowledge of statistics related to experimentationAbility to present data compellingly, enabling product and engineering teams to make superior decisionsStrategic thinker, considering the broader impact of your work on January’s overall successSelf-starter; able to independently explore and provide insightful recommendations based on data We are excited to welcome a new team member in our New York office.As a company rooted in New York City, we champion transparent, equitable compensation practices that reflect our commitment to fostering an inclusive environment where every team member can thrive.

About the Role Peloton is embarking on a pivotal transformation. We are transitioning from a leader in connected fitness to an all-encompassing wellness ecosystem driven by innovation and data. Our unwavering mission is to empower our global community to lead healthier, happier, and fitter lives. As we redefine the future of health, we seek visionary leaders who are enthusiastic about creating the frameworks that will enhance our world-class member experiences. As a user-centered, outcomes-driven Product organization, Peloton's Product Analytics team plays a crucial role in delivering strategic insights, robust reporting capabilities, and A/B testing to guide our direction and product roadmap. The analyst will be instrumental in championing diverse monetization and product analytics initiatives, aimed at profitably increasing Peloton's member engagement while optimizing our product strategy. We are on the lookout for a Product Analyst to join our Product Analytics team, focusing on fostering member engagement through habit formation. At Peloton, our ambition is to cultivate Members for Life—establishing enduring fitness routines that seamlessly integrate into our members’ daily lives. This role is pivotal in evaluating the effectiveness of our product experiences designed to help members develop and maintain consistent fitness habits. The Product Analyst will collaborate closely with cross-functional product teams to assess impact, derive insights, and shape product strategy—ensuring our efforts lead to sustainable habit formation and enhanced member retention. Your Responsibilities: Oversee analytics for habit formation engagement features—from defining success metrics to providing insights that inform product decisions. Collaborate with Product Managers and Designers to construct, launch, and evaluate A/B tests that influence the product roadmap. Craft compelling narratives with data: develop clear stories that resonate with senior stakeholders and steer strategic direction. Transform member behavior data into actionable insights that enhance retention and long-term engagement. Promote clean, consistent data instrumentation and support best practices in experimentation. Your Qualifications: 3-5 years of experience in analytics, with a focus on product or UX analytics (experience in fitness or consumer technology is advantageous). Proficiency in SQL and familiarity with Python (e.g., pandas) is required.

Why Join Charlie Health?Across the nation, countless individuals are grappling with mental health challenges, substance use disorders, and eating disorders. Unfortunately, they often face significant obstacles in accessing the care they need. From scarce local resources and extensive wait times to treatment options that fail to provide personalized support, the behavioral healthcare landscape can leave many feeling neglected.At Charlie Health, we are committed to transforming this reality. Our mission is to link individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections—with clinicians, care teams, loved ones, and supportive communities. By focusing on those with complex needs, we are broadening access to meaningful care and achieving improved outcomes from the comfort of home.As a fast-growing organization, we are reaching more communities each day and assembling a team that is revolutionizing the behavioral health treatment experience. If you are eager to leverage your expertise to effect lasting change and help more individuals access the care they deserve, we want to meet you.About the RoleAs a Staff Data Scientist focused on Growth and Marketing, you will act as a thought leader within our Growth, Marketing, and Revenue teams, guiding them on how to effectively utilize data. Your seasoned insights will help shape their strategies, inform their roadmaps, and drive impactful outcomes. You will play a crucial role in the company’s growth by enhancing marketing measurement methodologies, applying statistical rigor through modeling and causal inference, and pinpointing new opportunities for sustained impact throughout the organization.We are a team of dedicated, innovative professionals passionate about tackling the mental health crisis and providing life-saving solutions. If our mission resonates with you and you are excited by the opportunity to expand access to mental healthcare and positively affect millions of lives, apply today.