Data Science Manager, Shopping Experience

1 month ago
Full-time
Lead
Data Science and Analytics
instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K

Description

  • Lead, mentor, and develop a team of data scientists while setting priorities and maintaining technical excellence.
  • Define and own analytics and experimentation strategy across storefront, browse, search, cart, checkout, order status, and related shopper surfaces.
  • Own core shopping metrics, event logging, and data quality, and build reusable dashboards and tools for timely insights.
  • Lead analyses to uncover funnel friction, identify root causes, and partner with Product and Engineering to prioritize fixes.
  • Partner with Product and Engineering leadership to shape roadmaps, align on tradeoffs, and ensure goals are measurable.
  • Set standards for experiment design and readouts, including hypothesis formation, sampling, power analysis, metric selection, and storytelling.
  • Collaborate with ML teams on ranking, recommendations, personalization, and evaluation tied to business outcomes and shopper experience.
  • Improve cross-functional rituals such as experiment reviews and prioritization forums to increase speed, rigor, and learning.
  • Ensure AI and agentic features are grounded in strong measurement frameworks with clear success definitions and long-term impact.
  • Influence operations across enterprise, lifecycle, category growth, and foundation work through data-informed decision-making.

Requirements

  • 6+ years of experience in data science or analytics, including 2+ years managing or tech-leading a data science team.
  • Proven experience improving consumer app experiences at scale, such as funnels, ranking, personalization, or experimentation.
  • Deep hands-on expertise in experimentation and measurement, including A/B testing, guardrails, metrics design, and logging instrumentation.
  • Strong analytical and technical skills with proficiency in SQL and Python or R.
  • Experience translating ambiguous customer and retailer problems into metrics, analyses, and experiment roadmaps.
  • Demonstrated cross-functional leadership with Product, Engineering, Design, and Operations, with ability to influence without formal authority.
  • Track record of improving data quality, instrumentation, and reusable dashboards or tools.
  • Excellent communication and storytelling skills for explaining experiment results and tradeoffs to non-technical and senior stakeholders.
  • Experience in e-commerce, marketplaces, or consumer mobile apps, especially grocery, retail, or multi-retailer environments, preferred.
  • Background in ranking, recommendation, or personalization systems and their evaluation, preferred.
  • Experience scaling experimentation programs, including tiering, governance, or review forums, preferred.
  • Experience leading or partnering with ML teams on production models and offline/online evaluation, preferred.
  • Experience operating in a highly cross-functional, matrixed organization and influencing director-level or VP-level stakeholders, preferred.
  • Familiarity with GenAI and AI-assisted workflows, preferred.

Benefits

  • Remote role with Flex First work flexibility, allowing employees to work from home, an office, or another preferred location.
  • Highly market-competitive compensation and benefits based on work location.
  • Base salary range of $218,000-$230,000 USD for CA, NY, CT, and NJ.
  • Base salary range of $209,000-$220,500 USD for WA.
  • Base salary range of $200,000-$211,000 USD for OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, and HI.
  • Base salary range of $182,000-$192,000 USD for all other states.
  • Eligibility for a new hire equity grant.
  • Eligibility for annual refresh equity grants.
  • Access to Instacart benefits offerings.

Interested in this position?

Apply directly on the company website

Apply Now

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