Staff Data Scientist

📋 Description

• Develop statistical and causal inference methods for marketing measurement.
• Own end-to-end modeling from data exploration to production deployment.
• Collaborate with Engineering to integrate workflows into scalable systems.
• Validate models; stress-test assumptions; monitor live results.
• Translate complex statistics into actionable insights for stakeholders.

🎯 Requirements

• Bachelor's in math, CS, or quantitative STEM; Master's preferred.
• 6+ years in data science, ML, or statistical modeling.
• Deep experience in statistics, causal inference, and experiment design.
• Strong regression, time-series, Bayesian methods, and real-world eval.
• Production experience: translate research into production-ready models.
• Proficiency in Python and SQL on modern data platforms.
• Strong communication; explain technical concepts to non-technical stakeholders.

🎁 Benefits

• Equity package.
• Healthcare (medical, dental, and vision).
• 401(k) plan.
• Flexible PTO; holidays.
• 12 weeks parental leave.
• $500 work-from-home stipend.