Drive data-driven growth strategies by measuring, modeling, and optimizing top-of-funnel acquisition performance across multiple marketing channels. Collaborate with Marketing, Product, and Engineering teams to translate complex behavioral and predictive analyses into actionable insights.
Requirements
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field; Master’s or PhD preferred.
- 6+ years of experience in data science, applied machine learning, or related fields.
- Strong proficiency in Python, SQL, and experimentation/causal inference techniques.
- Experience in marketing measurement, attribution, and predictive modeling (e.g., MMM, incrementality testing, channel optimization).
- Ability to handle ambiguous, open-ended research questions and convert findings into actionable insights.
- Excellent communication skills with the ability to explain complex ideas clearly and build trust across teams.
- Passion for leveraging data to drive impactful growth initiatives.
Benefits
- Competitive base salary: $183,600 - $216,000 USD.
- Performance-based variable compensation and equity grants.
- Medical, Dental, and Vision coverage.
- HSA / FSA contributions.
- 401(k) plan.
- Flexible PTO and 13 paid holidays plus a Holiday Break between December 25–31.
- Work-from-home stipend.
- Therapy and fertility reimbursement programs.
- 16-week parental leave for eligible employees.
- Employee Assistance Program (EAP).
- Professional training and development opportunities.