Data Scientist

Replit4 days ago

Location

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

Type

Full Time

Salary

USD 150 – 250,000

Level

Senior

Role

Data Scientist

Posted

Mar 25, 2026

Full TimeSenior

The role

Summary

Replit is seeking a Data Scientist to build advanced analytics and intelligence systems that transform customer data into actionable insights. The role focuses on leveraging AI and advanced analytical techniques to optimize marketing performance, customer retention, and support strategies across the company's platform.

What you'll do

Marketing Analytics: Design and analyze marketing experiments across paid, lifecycle, and content channels to optimize customer acquisition cost (CAC), lifetime value (LTV), and return on ad spend (ROAS)

Customer Intelligence: Build automated systems to synthesize customer signals from support tickets, social media, reviews, and satisfaction surveys into actionable insights for cross-functional teams

Predictive Modeling: Develop churn and retention models to identify at-risk users and inform targeted intervention strategies

Customer Segmentation: Define and maintain customer personas and segmentations to drive targeted messaging and product decisions

AI-Powered Analytics: Utilize Large Language Models (LLMs) and agentic workflows to analyze unstructured data at scale and automate recurring analytical tasks

What we look for

Technical

Programming SkillsAdvanced proficiency in Python and data science libraries including pandas, scikit-learn, and statsmodels

Data ManagementStrong SQL skills with experience handling large-scale event-level user behavior data and ETL workflows using dbt

Statistical AnalysisExpertise in designing and analyzing A/B tests with statistical rigor, including sample sizing, significance testing, and causal inference

Education

Advanced DegreeMaster's or PhD in Data Science, Statistics, Computer Science, or related quantitative field preferred

Experience

Professional Experience6+ years of experience in data science with a focus on marketing, growth, or customer analytics

Skills

Required skills

Data AnalysisComprehensive skills in statistical analysis, predictive modeling, and data interpretation

Cross-Functional CollaborationProven ability to work effectively with Marketing, Product, Engineering, Support, and Sales teams

Nice to have

Growth AnalyticsBackground in SaaS or Product-Led Growth (PLG) company analytics

AI IntegrationExperience building AI agents and automated analytical pipelines using LLM APIs

Compensation & benefits

Salary

USD 150 – 250,000 (annual)

Stock options

Available

Benefits

Health Benefits

Comprehensive health, dental, vision, and life insurance coverage

Retirement Planning

401(k) program with a 4% company match

Leave Policies

Paid parental, medical, and caregiver leave

Wellness Support

Monthly wellness stipend and flexible time off (FTO)

Professional Development

Quarterly team gatherings and autonomous work environment

Interview process

1
Initial Screening — Review of resume and initial phone/video screening with recruiting team
2
Technical Assessment — Data science challenge to evaluate analytical and technical skills
3
Hiring Manager Interview — In-depth discussion of experience, problem-solving approach, and role alignment
4
Cross-Functional Interviews — Interviews with team members from Marketing, Product, and Engineering
5
Final Interview — Final discussion with leadership to assess cultural fit and strategic alignment