Data Scientist

Data Scientist Everfit | Hybrid, San Francisco Bay AreaAbout EverfitEverfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.About the RoleWe're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.What You'll DoProduct Analytics & User InsightsDefine and track key product metrics (activation, engagement, retention, churn) to measure product health and success.Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.Identify opportunities to improve onboarding, engagement, and coach–client interactions.Experimentation & A/B TestingOwn the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.Strategic Impact & RoadmappingCollaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.Technical FoundationsPartner with data engineering to improve pipelines and instrumentation.Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.Marketing Analytics & OptimizationAnalyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.Partner with marketing and growth teams to design and evaluate campaign experimentsWhat We're Looking For4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech companyStrong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasetsDeep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)Understanding of SaaS metrics and cohort analysisExperience with translating numerical findings into clear insights for non-technical team membersGenuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)Bonus Points:Experience with Python or R for statistical analysisExperience in a PLG (Product-Led Growth) environmentExperience working at a company during a hypergrowth phaseBackground in fitness, health, wellness, or coaching industriesYou'll thrive here if you:Are naturally curious and love asking "why" until you find the answerAre excited by fast-paced, high-growth environments with a passion for building out systems for scalingEnjoy collaborating with global teams and making complex topics understandableAre comfortable with ambiguity and can structure your own workCare deeply about the impact your insights have on real coaches and their clientsWhy Join EverfitEstablish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the worldWork with autonomy and ownership on high-impact projectsJoin a collaborative, global team with experience from leading tech and fitness companiesEnjoy competitive salary, equity, and performance bonusesBuild something meaningful that helps people live better, healthier livesEverfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.Ready to dive into data in the fitness intelligence space? We'd love to hear from you.