Instacart is hiring a Senior Data Scientist I Meals in Toronto!
Instacart is hiring a Senior Data Scientist I to lead data science for its Meals product, described as a top strategic priority for 2027. The role sits at a 0→1 inflection point: the MVP has launched, and the focus now shifts to scaling the measurement and experimentation systems that will show how Meals affects engagement, activation, and reactivation. It is a high-visibility position working alongside Product, Engineering, and Design partners, and the company operates under a Flex First model in which employees choose where they work, with regular in-person events. Canadian hires are currently limited to Ontario, Alberta, British Columbia, and Nova Scotia.
Key responsibilities
- Own the post-MVP scale-up of data science systems and infrastructure for the Meals initiative
- Design, build, and maintain metric tracking frameworks that quantify Meals' impact on engagement, activation, and reactivation
- Set experimentation strategy, from forming hypotheses through analysis and final recommendations that guide product decisions
- Collaborate closely with Product Managers, Engineers, and Designers, translating technical findings into clear guidance for stakeholders
- Help define what success looks like at scale for a new, fast-moving product area
Key requirements
- Experience in consumer-facing product data science, working directly with Product Managers, Engineering Leads, and Data Engineers
- Solid grounding in product and data analysis, A/B testing, causal inference, and statistical modeling
- Track record defining KPIs and optimizing funnels toward product-market fit
- Strong communication skills and the ability to distill complex technical findings for senior business and engineering audiences
- 4+ years of experience in data science or a related field
- Bachelor's degree in a quantitative discipline such as statistics, computer science, mathematics, economics, or engineering, or equivalent practical experience
- Preferred: linking offline evaluation metrics (NDCG, precision/recall, human evaluation) to online experiments and business outcomes
- Preferred: causal methods beyond standard A/B tests, such as holdouts, difference-in-differences, and quasi-experiments
- Preferred: improving logging, instrumentation, and metric definitions in complex data environments
- Preferred: experience launching features in new markets or driving 0→1 initiatives
- Seniority: Senior
- Work mode: Remote (Flex First; hiring in Ontario, Alberta, British Columbia, and Nova Scotia)
- Salary: $161,000 – $170,000 CAD
- Key skills: Product data science, A/B experimentation, Causal inference, Statistical modeling, KPI definition, Funnel optimization, Metric tracking and instrumentation, Offline evaluation metrics (NDCG, precision/recall), Stakeholder communication, Cross-functional collaboration
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