Data Scientist, Marketing
$75,000–$120,000 year
Hybrid · Foster City, California, United States
Job Summary
As a Data Scientist in Marketing at Replit, you will design and analyze marketing experiments to optimize campaigns across various channels. Your role involves building predictive models to identify prospects, creating dashboards for key metrics, and collaborating with teams to translate business questions into data-driven insights. Required skills include strong SQL and Python proficiency, experience with large datasets, and a background in A/B testing and experiments. You will also need a Bachelor's degree in relevant fields or equivalent experience, along with 4+ years in data science focusing on marketing.
Required Qualifications
- 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
Desired Qualifications
- 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
Additional Requirements
- Candidate must be able to work in-office Monday, Wednesday, and Friday.
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