Data Scientist

Role overview

Responsibilities

• check_circle Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
• check_circle Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
• check_circle Identify opportunities to improve onboarding, engagement, and coach–client interactions.
• check_circle Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.
• check_circle Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
• check_circle Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
• check_circle Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.
• check_circle Partner with data engineering to improve pipelines and instrumentation.
• check_circle Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.
• check_circle Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
• check_circle Partner with marketing and growth teams to design and evaluate campaign experiments
• check_circle 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
• check_circle Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
• check_circle Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
• check_circle Understanding of SaaS metrics and cohort analysis
• check_circle Experience with translating numerical findings into clear insights for non-technical team members
• check_circle Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)
• check_circle Experience with Python or R for statistical analysis
• check_circle Experience in a PLG (Product-Led Growth) environment
• check_circle Experience working at a company during a hypergrowth phase
• check_circle Background in fitness, health, wellness, or coaching industries
• check_circle Are naturally curious and love asking "why" until you find the answer
• check_circle Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
• check_circle Enjoy collaborating with global teams and making complex topics understandable
• check_circle Are comfortable with ambiguity and can structure your own work
• check_circle Care deeply about the impact your insights have on real coaches and their clients
• check_circle Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
• check_circle Work with autonomy and ownership on high-impact projects
• check_circle Join a collaborative, global team with experience from leading tech and fitness companies
• check_circle Enjoy competitive salary, equity, and performance bonuses
• check_circle Build something meaningful that helps people live better, healthier lives

About the company