OverviewWe are looking for a Senior Data Scientist to lead the Meals initiative - one of Instacart's top strategic priorities for 2027. This role is focused 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 for Instacart through a high-visibility, high-impact 01 initiative. This is an opportunity to shape the direction of a major product area in close partnership with Product, Engineering, and Design.
About the Job- 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 01 initiative at a critical inflection point, helping define what success looks like at scale
About YouMinimum Qualifications- 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
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$161,000-$170,000 CAD
