ApplySarthiSenior Data Scientist I - Meals
Instacart
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Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Instacart.
Questions you are likely to be asked
- Why do you want to join Instacart?
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the Senior Data Scientist I - Meals at Instacart interview free →We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
We 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 0→1 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 0→1 initiative at a critical inflection point, helping define what success looks like at scale
About You
Minimum 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.
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Listed on greenhouse · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Instacart, not by us.