Lead Data Scientist, Experimentation Platform

About Strava

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. They use machine learning, causal inference, and measurement systems to synthesize Strava's unique data assets into models, metrics, and recommendations that our leadership team can act on with confidence.

About This Role

This is a strategic individual contributor role that will partner closely with our engineering and data teams to deliver improvements to our experimentation platform for product and marketing improvements. The role drives organization-wide through expanding functionality of and visibility into our experiments, and by partnering with cross-functional teams to define processes that enable Strava to deliver the highest quality experiences to our athletes.

We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office — three days per week.

What You’ll Do

• Build industry-leading experimentation process and platform for a consumer product serving ~tens of millions of athletes worldwide.
• Partner with engineers, product managers, and marketers to ensure experiments are successfully designed and shipped across product surfaces and marketing channels.
• Collaborate closely with our Comms & Experimentation Platform engineers to expand our technical capabilities to support experiment designs and methods for serving experiences to athletes.
• Serve as a domain expert to aid the data team horizontally in pursuits related to experimentation and inference.

What You’ll Bring to the Team

• 5+ years of experience in data science or a related quantitative domain with hands-on experience working on experiments, preferably with back-end knowledge of experimentation systems.
• Deep familiarity with methodology and common issues in scaling experimentation—e.g. hypothesis/noninferiority testing, incremental lift estimation, power estimation, program-level holdout experiments, winner’s curse, and interaction effects.
• Strong SQL proficiency and comfort writing software for statistical data processing.
• Fluency in metrics and measurement for consumer software products, and comfort in working with cross-functional partners to translate business needs into technical plans and vice versa.

Why Join Us?

Movement brings us together. At Strava, we're building the world's largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you're shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you're not just joining a company—you're joining a movement.

Compensation Range

$240K - $260K