Data Scientist, Growth

Role overview Use product data and controlled experiments to help a growth team make better decisions. The work spans defining meaningful measures, planning and analyzing A/B tests, and understanding how users move through a funnel and continue engaging over time. The role calls for statistical rigor paired with practical interpretation of results and uncertainty.

Responsibilities - Design experiments and analyze A/B test outcomes. - Define growth metrics and specify how they should be measured. - Model conversion funnels and user retention. - Explain findings, limitations, and uncertainty clearly to teammates. - Improve the processes used to plan and run experiments.

Requirements - Strong grounding in statistics and experimental design. - Working ability in Python or R, as well as SQL. - Experience with product analytics. - Clear communication of analytical results and uncertainty. - Relevant experience in product data science, product analytics, or experimentation teams.

Benefits and work setup - Remote contract with flexible hours. - Compensation starts at $5,000 per month. - Freelancers and solo agencies may continue serving their own clients.