Staff Data Scientist, Marketing Analytics

📋 Description

• Own the paid performance story. Track spend and results across channels every week. Explain why
• Measure new-member offers. Show whether our sign-up offers bring in better members and whether they
• Set the bar for experiments and offers. Define how tests are designed and read, and how we decide
• Improve how we give credit to marketing channels. Find where our attribution rules fall short
• Turn marketing mix modeling into budget advice. Use the output of our Marketing Mix Model to advise
• Help plan the work ahead. Estimate the likely impact of new marketing ideas so the team can

🎯 Requirements

• A Bachelor’s degree and 10+ years of experience in analytics or data science, with deep experience
• A track record of setting measurement strategy across several teams, not only delivering analyses
• Deep expertise in marketing measurement: attribution, incrementality, MMM, cost per acquisition and
• Expert-level experimentation and causal inference skills, including knowing when standard methods
• Strong SQL and experience shaping data models and pipelines in large data warehouses (we use
• Advanced Python or a similar language for analysis

🎁 Benefits

• In-office work policy: four days a week in the office and Fridays from home for those near one of
• Backup child, elder, and pet care and subsidized commuter benefits for eligible employees
• Comprehensive health, financial, and wellbeing benefits
• Generous vacation policy and company-wide paid days off
• 1% of your time off to support local community organizations
• Annual wellness stipend