Note: The job is a remote job and is open to candidates in USA. Instacart is a grocery technology company transforming how people access groceries and household goods. The company is seeking a Senior Data Scientist to lead the Meals initiative by scaling data science systems, building measurement frameworks, driving experimentation, and partnering with Product, Engineering, and Design to guide product decisions.
Responsibilities
- Lead data science for the Meals initiative, owning the post-MVP scale-up of DS systems and infrastructure
- Design, build, and maintain metric tracking frameworks to measure the impact of Meals on engagement, activation, and reactivation
- Drive experimentation strategy — from hypothesis definition to analysis and recommendation — to guide product decisions
- Partner closely with Product Managers, Engineers, and Designers to align on strategy and communicate data-driven insights
- Contribute to a 0→1 initiative at a critical inflection point, helping define what success looks like at scale
Skills
- Proven experience in consumer-facing product data science, partnering closely with Product Managers, Engineering Leads, and Data Engineers
- Strong data science foundation: product and data analysis, A/B experimentation, causal inference, and statistical modeling
- Experience defining KPIs, and optimizing funnel for product market fit
- Excellent communication skills, with the ability to synthesize complex technical findings for senior business and engineering stakeholders
- 4+ years of work experience in a data science or related field
- Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Mathematics, Economics, Engineering) or equivalent practical experience
- Experience bridging offline evaluation metrics (e.g., NDCG, precision/recall, human evaluation) with online experiments and business outcomes
- Background in causal inference beyond standard A/B tests (e.g., holdouts, diff-in-diff, quasi-experiments) to measure long-term or cross-surface effects
- Proven impact improving logging, instrumentation, and metric definitions in complex data environments
- Experience launching new features in new markets, or launching 0-1 initiatives
Benefits
- Flexible work arrangement allowing employees to choose where they do their best work—whether from home, an office, or a favorite coffee shop—while staying connected and building community through regular in-person events.
- This role is eligible for a new hire equity grant as well as annual refresh grants.
Company Overview
Company H1B Sponsorship