Lead Data Analyst, Growth Science

📋 Description

• Partner with vendors to develop our media mix model.
• Design, run, and report results from complex experiments and quasi-experiments.
• Develop predictive models to improve Marketing, Product, and Lifecycle Marketing.
• Collaborate with Marketing, Product, and Lifecycle Marketing to drive outcomes.
• Mentor analysts on experimentation and statistics; raise the team's technical rigor.

🎯 Requirements

• Strong focus on turning insights into measurable business results.
• Ability to influence senior stakeholders and guide decisions in fast-moving, ambiguous environments.
• PhD in statistics, economics, or related social science with quantitative methods.
• 5+ years in applied science; expertise in predictive modeling and causal inference.
• Advanced SQL and Python or R; AI experience to accelerate end-to-end processes.

🎁 Benefits

• Four days in-office; Fridays remote for local offices.
• In-office perks: backup care; subsidized commuter benefit.
• Wellness stipend; parental leave: 24 weeks birthing, 12 weeks non-birthing.
• Maven family planning tool; $15k lifetime reimbursement.
• 401k match; comprehensive benefits package.
• In-person/virtual events to connect with teammates.