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Data Scientist II, Logistics

Instacart

$136,000 - $182,000
Sep 19, 2025
Remote, US
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Instacart is looking to solve complex and dynamic marketplace problems including dynamic pricing, matching, and experimentation to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace.

Requirements

  • Experience designing experiments and interpreting results to draw actionable conclusions.
  • Proficiency in SQL and writing queries for complex datasets.
  • Proficiency in Python or R for data analysis and modeling.
  • Experience working with multi-sided marketplaces.
  • Experience working in dynamic pricing, auction, and matching problem spaces
  • Hands-on experience developing and evaluating statistical, machine learning, or optimization models.
  • Hands-on experience in experimentation design, methods, and tooling in a product-driven organization.

Responsibilities

  • Define and enhance analytical frameworks that guide product decision-making and strategy.
  • Design and analyze experiments to derive actionable insights for improving product and system performance.
  • Build models and simulations to predict the outcomes of marketplace and policy changes.
  • Support the development and refinement of algorithms governing marketplace fulfillment systems.
  • Collaborate on strategic projects to improve experimentation capabilities and analytical tooling.
  • Help shape Instacart’s marketplace through your expertise in areas such as causal inference, machine learning, forecasting, or optimization modeling.
  • Clearly communicate findings and recommendations to leadership and cross-functional teams.

Other

  • 2+ years of experience in a data science, analytics, or equivalent role.
  • Ability to turn loosely defined problems into clearly structured analyses and business outcomes.
  • Strong analytical mindset, flexibility to adapt in a fast-changing environment, and eagerness to learn and grow.
  • Excellent communication skills for cross-functional collaboration and leadership engagement
  • Advanced degree (MS or PhD) in Statistics, Economics, Operations Research, Mathematics, or a related field.