Lead Data Scientist, Experimentation Platform

United States Digital Space LLC; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Strava is seeking a Data Scientist to advance our experimentation platform and measurement systems. You will partner with engineering, product, and marketing to design and ship experiments across product surfaces and channels, leveraging backend data capabilities to drive product improvements for millions of athletes.

This strategic IC role supports the data science team, enabling company-wide experimentation and scalable analytics.

Qualifications

• 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 issues in scaling experimentation — hypothesis testing, lift estimation, power estimation, holdout experiments, interaction effects.
• Strong SQL proficiency and comfort writing software for statistical data processing.
• Fluency in metrics and measurement for consumer software products, and ability to translate business needs into technical plans.

Responsibilities

• 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 designed and shipped across product surfaces and marketing channels.
• Collaborate with Comms & Experimentation Platform engineers to expand capabilities for experiment designs and methods.

Skills

SQL proficiency

Experimentation

Back-end knowledge

Cross-functional collaboration

Tools

Python

Job description

Strava is seeking a Data Scientist to advance our experimentation platform and measurement systems. You will partner with engineering, product, and marketing to design and ship experiments across product surfaces and channels, leveraging backend data capabilities to drive product improvements for millions of athletes.

This strategic IC role supports the data science team, enabling company-wide experimentation and scalable analytics.