Lead, mentor, and grow a high-performing team of data scientists; set clear priorities, uphold technical excellence, and develop career paths.
Define and own the analytics and experimentation strategy across storefront, browse/aisles, search, cart, checkout, OSP, Family, Lists, and Meals/Health—covering metrics, guardrails, instrumentation, and experiment best practices.
Own core shopping metrics and event logging; improve data quality, build reusable dashboards/tools, and ensure reliable, timely insights for decision-making.
Drive “DS understand projects” that uncover friction in shopping funnels; scope root-cause analyses and partner with PM and Eng to prioritize and ship fixes that move conversion and retention.
Partner as a thought leader with Product and Engineering leadership to shape roadmaps, make tradeoffs across Enterprise, Lifecycle, Category Growth, and Foundations work, and ensure goals are measurable and achievable.
Set the bar for experiment design and readouts; coach teams on hypothesis formation, sampling, power analysis, metric selection, and clear storytelling of results and implications.
Collaborate with ML partners on ranking, recommendations, and personalization initiatives, aligning offline/online evaluation with business outcomes and shopper experience goals.
Influence and improve cross-functional rituals (e.g., experiment reviews, prioritization forums) to increase speed, rigor, and learning across the organization.
Ensure AI/agentic features are grounded in robust data and measurement frameworks, with clear definitions of success and long-term impact.

Requirements

6+ years of experience in data science or analytics, including 2+ years directly managing or tech-leading a data science team in a fast-moving environment.
Proven track record optimizing consumer app experiences at scale (e.g., funnels, ranking, personalization, experimentation) in technology or similar product-led organizations.
Deep hands-on expertise in experimentation and measurement, including A/B testing, guardrails, metrics design, and logging/event instrumentation.
Strong analytical and technical skills with proficiency in SQL and Python or R.
Experience translating ambiguous customer and retailer problems into clear metrics, analyses, and experiment roadmaps that drive measurable outcomes.
Demonstrated cross-functional leadership with Product, Engineering, Design, and Operations; able to influence roadmaps and drive alignment without formal authority.
Track record as a data quality champion—improving instrumentation, building reusable dashboards/tools, and advocating for rigorous yet pragmatic decisions.
Excellent communication and storytelling skills; able to explain complex tradeoffs and experiment results to non-technical partners and senior stakeholders.

Benefits

Instacart provides highly market-competitive compensation and benefits in each location where our employees work.
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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data scienceanalyticsA/B testingSQLPythonRmetrics designevent loggingexperiment designdata quality

Soft Skills

leadershipmentoringcommunicationstorytellinganalytical skillsinfluencingcollaborationproblem-solvingprioritizationcoaching