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Data Scientist, Marketing

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Replit

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Location:
United States , Foster City

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

180000.00 - 250000.00 USD / Year
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Job Description:

You'll directly impact Replit's growth by turning user behavior into actionable insights that optimize our marketing efforts, improve conversion funnels, and drive sustainable revenue growth across our self-serve and enterprise segments.

Job Responsibility:

  • Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing
  • Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion
  • Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns
  • Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations
  • Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams
  • Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics

Requirements:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles
  • 4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics
  • Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and 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 statistical rigor around sample sizing, significance testing, and causal inference
  • Experience building dashboards and visualizations (Looker, Tableau, Mode, or similar tools)
  • Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders

Nice to have:

  • Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.)
  • Background in growth analytics, marketing analytics, or conversion rate optimization at a SaaS or PLG company
  • Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.)
  • Experience with attribution modeling, marketing mix modeling, or incrementality testing
  • Understanding of PLG (product-led growth) motions and self-serve conversion funnels
  • Experience analyzing freemium or usage-based pricing models
  • Understanding of developer tools, collaborative coding environments, or technical products
  • Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching)
  • Familiarity with customer data platforms (CDPs) and event tracking implementation
  • Experience working with sales and customer success data to analyze expansion revenue and upsell opportunities
What we offer:
  • Competitive Salary & Equity
  • 401(k) Program with a 4% match
  • Health, Dental, Vision and Life Insurance
  • Short Term and Long Term Disability
  • Paid Parental, Medical, Caregiver Leave
  • Commuter Benefits
  • Monthly Wellness Stipend
  • Autonomous Work Environment
  • In Office Set-Up Reimbursement
  • Flexible Time Off (FTO) + Holidays
  • Quarterly Team Gatherings
  • In Office Amenities

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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