Senior Data Scientist

Instacart

. Shape how customers choose and experience delivery and pickup, from browsing through checkout and fulfillment .

Posted 11/6/2026full-timeRemote • CanadaSenior💰 CA$161,000 - CA$170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and analyzing experiments within a two-sided marketplace, leveraging SQL and Python or R for data analysis. Proven ability to connect operational changes to growth and efficiency outcomes while influencing product strategy and roadmap decisions.

Highest-signal resume keywords

Quantitative AnalysisExperiment DesignSQL ProficiencyPython or R CodingStatistical Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisExperiment DesignSQL ProficiencyPython CodingR CodingStatistical ModelingMachine LearningOptimization ModelsGeospatial Data AnalysisAnalytical Frameworks

Soft Skills

Cross-Functional CollaborationInfluencing Leadership DecisionsCommunication Skills

Tools & Technologies

Automation ToolsExperimentation FrameworksMetrics Development

Certifications & Qualifications

MS in StatisticsPhD in StatisticsMS in EconomicsPhD in EconomicsMS in Operations ResearchPhD in Operations ResearchMS in Applied MathematicsPhD in Applied Mathematics

Industry Keywords

Two-Sided MarketplaceProduct ExperimentationOperational ChangesCustomer ExperienceGrowth MetricsRetention StrategiesEfficiency Outcomes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Shape how customers choose and experience delivery and pickup, from browsing through checkout and fulfillment
Own the experimentation framework for speed and service option tests across marketplace and enterprise
Design and analyze experiments in a two-sided marketplace
Measure tradeoffs between speed, reliability, cost, and customer experience
Turn analysis into product and strategy recommendations
Connect operational changes to growth, retention, and efficiency outcomes
Partner with Product, Engineering, and Operations on complex systems and high-impact questions
Build automation tools, metrics, and frameworks for the broader team
Communicate recommendations that shape the roadmap and reach leadership

Requirements

What you’ll need

5+ years of experience in a quantitative role at a product company or a research organization
Track record of owning ambiguous, cross-functional problems end to end and influencing roadmap or leadership decisions
Ability to design and run rigorous experiments and produce scientifically sound recommendations
Ability to write complex, efficient SQL queries and code in Python or R
Ability to translate unstructured quantitative problems and business needs into analytical frameworks and business outcomes
Experience with analytical and strategic challenges in a multi-sided marketplace
Experience building, evaluating, and improving statistical, machine learning, and optimization models
Experience with geospatial data and methods
Experience with product experimentation and developing experimentation capabilities and tooling
MS/PhD in Statistics, Economics, Operations Research, Applied Mathematics, or a similar field is preferred

Benefits

Comp & perks

New hire equity grant
Annual refresh grants
Flexible work location: home, office, or coffee shop
Regular in-person events
Market-competitive compensation and benefits