Data Scientist, Product

Replit4 months ago

Location

Foster City, CA (Hybrid) In office M,W,F

Type

Full Time

Salary

USD 180,000 – 250,000

Level

Senior

Role

Data Scientist

Posted

Nov 14, 2025

Full TimeSenior

The role

Summary

Replit is seeking a highly skilled Data Scientist to drive product insights and strategy through rigorous analytics and experimentation. The ideal candidate will leverage advanced statistical methodologies and AI tools to uncover actionable user behavior insights, directly impacting product growth, user activation, and enterprise business expansion.

What you'll do

Product Experimentation: Design and analyze complex multi-variant experiments to evaluate feature launches, onboarding changes, and in-product interventions using rigorous statistical methodologies.

Analytics Ownership: Develop comprehensive analytics for core product areas including growth, feature adoption, product quality, and AI agent effectiveness, proactively surfacing insights to influence product strategy.

Enterprise Analytics: Build analytical foundations for enterprise business by understanding team adoption patterns, workspace collaboration dynamics, and identifying expansion signals for go-to-market strategies.

Predictive Modeling: Develop predictive models to forecast user behavior, including retention, conversion, and expansion likelihood, and embed these signals directly into product and growth workflows.

What we look for

Technical

Programming SkillsProficiency in Python and data science libraries (pandas, scikit-learn, statsmodels)

Database SkillsStrong SQL skills and experience working with large event-level user behavior datasets

Experimental DesignAdvanced experience in A/B testing, including sample sizing, power analysis, significance testing, and causal inference

Education

Academic BackgroundBachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field

Experience

Professional Experience5+ years of experience in data science with a focus on product analytics, growth, or user behavior

Skills

Required skills

SQLAdvanced SQL skills for complex data analysis and ETL workflows

PythonProficient use of Python for data science and statistical analysis

Experimental DesignRigorous approach to designing and analyzing statistical experiments

Nice to have

Modern Data StackExperience with dbt, BigQuery, Snowflake, Fivetran, and product analytics platforms

Causal InferenceKnowledge of advanced causal inference methods like difference-in-differences and propensity score matching

Compensation & benefits

Salary

USD 180,000 – 250,000 (annual)

Stock options

Available

Benefits

Competitive Compensation

Competitive salary with equity options

Retirement Planning

401(k) program with 4% employer match

Healthcare

Comprehensive health, dental, vision, and life insurance

Leave Policies

Paid parental, medical, and caregiver leave

Wellness Benefits

Monthly wellness stipend and commuter benefits

Flexible Work

Flexible Time Off (FTO) and autonomous work environment

Interview process

1
Initial Screening — Phone or video call with recruiting team to assess background and fit
2
Technical Assessment — Take-home data science challenge or live coding/analysis session
3
Hiring Manager Interview — In-depth discussion of experience, methodology, and problem-solving approach
4
Team Interviews — Multiple interviews with potential team members to assess technical and cultural fit