Data Scientist, Product
Remote • Foster City, CA • FullTime
Posted 8mo ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
Replit is seeking a Data Scientist, Product to join their team and redefine how software is built. This role will focus on understanding user behavior and translating those insights into actionable strategies to drive product growth, improve user activation and retention, and contribute to revenue growth across self-serve and enterprise segments. The ideal candidate is a fast-paced, deep-diving data scientist who can quickly generate accurate analyses, rigorously test hypotheses, and leverage AI tools to enhance productivity while maintaining high standards for output quality. You will be instrumental in shaping product strategy and ensuring the success of Replit's mission to make programming accessible and AI-powered.
Responsibilities
- Design and analyze product experiments to evaluate feature launches, onboarding changes, and in-product interventions using rigorous statistical methodology.
- Own the analytics for core product areas including growth, feature adoption, product quality, and AI agent effectiveness, proactively surfacing insights to influence the product roadmap.
- Build the analytical foundation for Replit's enterprise business by understanding team adoption, collaboration dynamics, and expansion signals.
- Develop predictive models and frameworks to measure the impact of features and launches on user behavior, such as likelihood to retain, convert, or expand.
- Embed predictive signals directly into product and growth workflows.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
- 5+ years of experience in data science with a focus on product analytics, growth, or user behavior.
- Strong SQL skills and experience working with large datasets, particularly event-level user behavior data.
- Experience designing ETL workflows using dbt.
- Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
- Experience designing and analyzing A/B tests and experiments, including sample sizing, power analysis, significance testing, novelty effects, interference, and causal inference.
- Demonstrated ability to leverage AI tools extensively in analytical workflows to increase effectiveness while maintaining high output quality.
Benefits
- Competitive Salary & Equity
- 401(k) Program with a 4% match (US Only)
- Health, Dental, Vision and Life Insurance
- Short Term and Long Term Disability
- Paid Parental, Medical, Caregiver Leave
- Flexible Time Off (FTO) + Holidays
- Commuter Benefits (In-Office Only)
- Monthly Wellness Stipend
- Autonomous Work Environment
- In Office Set-Up Reimbursement (In-Office Only)
- Quarterly Team Gatherings