Lead Data Scientist, Experimentation Platform

**Location** ------------ Strava SF **Employment Type** ------------------- Full time **Location Type** ----------------- Hybrid **Department** -------------- DepartmentTechnologyData and Insights **Compensation** ---------------- * $240K – $260K • Offers Equity This range reflects base compensation only and does not include equity or benefits. Your recruiter can share more details about the full compensation package during the hiring process. At Strava, we know our employees are the most important ingredient to our success, and our compensation and total rewards programs reflect that. We take a market\-based approach to pay, and pay may vary depending on the department and your location. Salary ranges are categorized into one of three zones based on a cost of labor index for that geographic area. We will determine the candidate’s starting pay based on job\-related skills, experience, qualifications, work location, and market conditions. We may modify these ranges in the future. For more information, please contact your talent partner. **About Strava** ---------------- Strava is the app for active people. With over 195 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. **About This Role** The Data Science team at Strava works across the organization to find solutions to the highest\-leverage, and often the most challenging, problems facing the business. We use machine learning, causal inference, and measurement systems to synthesize Strava’s unique data assets into models, metrics, and recommendations that our leadersh