Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Foster City, CA | Hybrid | Remote Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Replit is redefining how software is built and who gets to build it. Our mission is Autonomy for All - making programming accessible, collaborative, and powered by AI. This role owns how Replit understands its customers across every touchpoint. You'll build the analytics and intelligence layer that spans marketing performance, customer signals, and support - turning massive volumes of behavioral data, feedback, and interaction signals into insights that drive growth, retention, and revenue. This isn't a traditional marketing analytics seat. You'll work across paid and organic channels, lifecycle marketing, customer feedback, social signals, and support data - and you'll use AI to do it at a scale that would be impossible manually. You'll build agents and automated systems that deliver insights directly to the teams that need them, not just dashboards that sit untouched. YOU WILL: - Design and analyze marketing experiments across paid, lifecycle, and content channels; optimize CAC, LTV, and ROAS - Build multi-touch attribution and marketing mix models to understand what's driving growth - Synthesize customer signals - support tickets, social, reviews, CSAT - into automated intelligence that reaches the teams who need it - Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies - Define and

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