Role Overview
Work as part of a small, fast-moving team on the data foundation that powers product decisions across consumer products, media, gaming, and e-commerce. The work spans the full journey from raw user behavior to actionable insight.
What You Will Do
Design and execute analyses that turn raw user behavior into actionable product insights, own A/B experiments end to end, communicate findings clearly to product and engineering stakeholders, and leverage AI tools to accelerate your workflow.
Why It Might Be a Fit
You’ll work alongside engineers and product teams, using AI to move faster than a traditional data science workflow ever allowed. You’ll have the opportunity to lead the team that decides how moments come to life across every screen.
Requirements
- AI-Native: You’re already using AI tools daily to move faster, from writing queries and building models to exploring data and communicating findings.
- Analytical Builder: +3 years of hands-on experience in data science or analytics, with strong SQL, Python, and statistical modeling skills.
- Product Connected: You care about why you’re analyzing something, not just how.
- Experimentally Rigorous: You understand the principles of A/B testing, know where experiments go wrong, and hold the line on statistical rigor even under deadline pressure.
- Strong SQL and Python skills, experience with A/B experimentation frameworks, and familiarity with at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent).
Benefits
- Competitive Salary
- Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance
- Company contributions to employee Health Savings Accounts (HSA)
- 401k Plan with Safe Harbor company-matching
- Flexible vacation policy and paid company holidays
- Company-provided technology package
- Relocation assistance where applicable, including travel and company-provided housing for the first 90 days
To apply for this job please visit job-boards.greenhouse.io.
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