Related skills
r sql python experimentation instrumentationπ Description
- Lead, mentor, and grow a data science team; set priorities.
- Define analytics and experimentation strategy across storefronts and shopper surfaces.
- Own core shopping metrics and event logging; ensure timely insights.
- Drive DS projects to uncover friction in shopping funnels; prioritize fixes.
- Partner with Product and Engineering to shape roadmaps and align goals.
- Set the bar for experiment design, hypotheses, power analysis.
π― Requirements
- 6+ years of experience in data science or analytics, including 2+ years directly managing or tech-leading a data science team in a fast-moving environment.
- Proven track record optimizing consumer app experiences at scale (funnels, ranking, personalization, experimentation) in technology or similar product-led organizations.
- Deep hands-on expertise in experimentation and measurement, including A/B testing, guardrails, metrics design, and logging/event instrumentation.
- Strong analytical and technical skills with proficiency in SQL and Python or R.
- Experience translating ambiguous customer and retailer problems into clear metrics, analyses, and experiment roadmaps that drive measurable outcomes.
- Demonstrated cross-functional leadership with Product, Engineering, Design, and Operations; able to influence roadmaps and drive alignment without formal authority.
π Benefits
- Flexible/remote-first working options with in-person events.
- Highly market-competitive compensation and benefits; Flex First remote policy.
- Eligible for new hire equity grant and annual refresh grants.
- Access to Taste of Instacart benefits and employee programs.
- Opportunity to influence across cross-functional teams and drive real impact.
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