Senior Data Scientist I - Meals
Canada - Remote (ON, AB, BC, or NS Only) · Remote · CAD 161,000-170,000 / year · 4+ years experience · Full-time · Remote · Posted Sep 28, 2026
At a glance
- Experience
- 4+ years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- Canada - Remote (ON, AB, BC, or NS Only) · Remote
- Salary
- CAD 161,000-170,000 / year · Base salary
About the role
- Instacart is looking for a Senior Data Scientist to lead the Meals initiative, which is one of the top strategic priorities for 2027.
- This role focuses on scaling data science work following the MVP launch, with metric tracking and experimentation at the core.
- You will play a key role in driving engagement, activations, and reactivations through a high-visibility, high-impact 0 to 1 initiative.
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 to 1 initiative at a critical inflection point, helping define what success looks like at scale
Requirements
- 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
Preferred qualifications
- 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
- Market-competitive compensation
- Market-competitive benefits
- New hire equity grant
- Annual refresh grants
Workplace
- Remote in Canada (ON, AB, BC, or NS Only) or United States
Skills
- A/B Experimentation
- Causal Inference
- Statistical Modeling
- NDCG
- precision/recall
- Human Evaluation
- Diff-in-diff
- Quasi-experiments
- Data Analysis
