Hybrid Data Scientist, Marketing

at Replit

• Job title: Data Scientist, Marketing
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: $180,000 - $250,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, Pandas, Python, Scikit-Learn, SQL, Tableau
• Location requirements: Hybrid, Foster City, United States

About the role

• Data Scientist optimizing marketing and conversion funnels at Replit, democratizing software development. The role involves analyzing user behavior and building predictive models for insightful marketing strategies.

Responsibilities

• 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.
• Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
• Analyze cohort behavior and retention patterns to optimize lifecycle marketing campaigns and reduce churn.
• Develop segmentation models to personalize messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).
• Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.

Requirements

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
• 2-4 years of experience in data science, analytics, 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.

Benefits

• Competitive Salary & Equity
• 401(k) Program
• 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