Description
Data Scientist
Location: San Francisco
Department: Data
Location Type: HYBRID
Employment Type: FULL_TIME
Data Scientist
San Francisco Bay Area | Hybrid
About Everfit
Everfit 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 Role
We'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 Do
Product Analytics & User Insights
- Define 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 Testing
- Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.
Strategic Impact & Roadmapping
- Collaborate 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 Foundations
- Partner with data engineering to improve pipelines and instrumentation.
- Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.
Marketing Analytics & Optimization
- Analyze 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 experiments
What We're Looking For:
- 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
- Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
- Deep 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 analysis
- Experience with translating numerical findings into clear insights for non-technical team members
- Genuine 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 analysis
- Experience in a PLG (Product-Led Growth) environment
- Experience working at a company during a hypergrowth phase
- Background in fitness, health, wellness, or coaching industries
You'll thrive here if you:
- Are naturally curious and love asking "why" until you find the answer
- Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
- Enjoy collaborating with global teams and making complex topics understandable
- Are comfortable with ambiguity and can structure your own work
- Care deeply about the impact your insights have on real coaches and their clients
Why Join Everfit:
- Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
- Work with autonomy and ownership on high-impact projects
- Join a collaborative, global team with experience from leading tech and fitness companies
- Enjoy competitive salary, equity, and performance bonuses
- Build something meaningful that helps people live better, healthier lives
Everfit 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.
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