Data Scientist

📋 Description

• Design and run incrementality experiments (geo, holdout, PSA) for advertisers
• Build and evolve marketing mix models (MMM) and multi-touch attribution analyses
• Apply causal inference methods (DiD, synthetic controls, IV, propensity scoring)
• Translate measurement results into narratives for advertisers and product teams
• Partner with Engineering on data and modeling for bidding, pacing, and optimization
• Develop and validate predictive models to improve campaign performance

🎯 Requirements

• Bachelors or Masters in Statistics, Economics, Data Science, CS, or related field
• 3-5 years of applied data science in marketing measurement
• Hands-on experience designing/analyzing experiments (A/B, geo, holdout) in marketing
• Strong Python (pandas, statsmodels, scikit-learn, PyMC) and SQL
• Solid grounding in statistical inference, regression, and causal methods
• Ability to communicate technical results to non-technical audiences

🎁 Benefits

• Fully remote work environment
• Competitive salary and equity
• Performance bonuses
• Health, dental, and vision benefits
• Monthly wifi, cell phone and hardware stipend
• Flexible PTO and remote-friendly culture