Data Scientist

📋 Description

• 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 maintain customer segmentations and personas that drive targeting, messaging, and product decisions
• Build the analytical foundation for Voice of the Customer — connecting qualitative feedback signals to quantitative behavior data at scale

🎯 Requirements

• 6+ years of experience in data science with a focus on marketing, growth, or customer analytics
• Strong SQL skills and experience with large-scale event-level user behavior data; experience designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)
• Experience designing and analyzing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)
• Experience building dashboards and visualizations (Hex, Looker, Tableau, Mode, or similar) — ideally automating them
• Demonstrated experience using LLMs/AI tools in analytics workflows — not just prompting, but building automated systems

🎁 Benefits

• Health, Dental, Vision and Life Insurance
• 401(k) with a 4% match
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend