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Data Science Manager, Shopping Experience

13 hours, 39 minutes ago
Canada
Full-time
Lead
Data Scientist
Data Science and Analytics
Generative AI LLM Machine Learning Python R SQL
Apply Now
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
View All Jobs 127

Description

  • Lead, mentor, and grow a high-performing team of data scientists, including setting priorities and developing career paths.
  • Define and own the analytics and experimentation strategy across storefront, browse, search, cart, checkout, order status, Family, Lists, and Meals/Health.
  • Own core shopping metrics, event logging, data quality, and reusable dashboards and tools to support timely decision-making.
  • Drive deep-dive analyses to identify friction in shopping funnels and partner with Product and Engineering to prioritize and ship improvements.
  • Work with Product and Engineering leadership to shape roadmaps, align on tradeoffs, and ensure goals are measurable and achievable.
  • Set the standard for experiment design and readouts, including hypothesis formation, sampling, power analysis, metric selection, and result storytelling.
  • Collaborate with ML teams on ranking, recommendations, personalization, and offline/online evaluation.
  • 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 robust measurement frameworks with clear success definitions and long-term impact metrics.

Requirements

  • 6+ years of experience in data science or analytics, including 2+ years managing or tech-leading a data science team.
  • Proven experience optimizing consumer app experiences at scale, such as funnels, ranking, personalization, or experimentation.
  • 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, including influencing without formal authority.
  • Track record of improving instrumentation, building reusable dashboards or tools, and championing data quality.
  • Excellent communication and storytelling skills for explaining complex tradeoffs and experiment results 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 governance, tiering, or experiment review forums, preferred.
  • Experience partnering with ML teams on production models and evaluation strategies, preferred.
  • Experience operating in a matrixed organization and influencing director- and VP-level stakeholders, preferred.
  • Familiarity with GenAI and AI-assisted workflows, preferred.

Benefits

  • Highly market-competitive compensation and benefits.
  • Remote role with Flex First work flexibility.
  • Eligible for a new hire equity grant.
  • Eligible for annual refresh equity grants.
  • Base pay range for Canadian candidates: $192,000 to $202,500 CAD.
  • Hiring currently limited to Ontario, Alberta, British Columbia, and Nova Scotia for Canada-based candidates.

Interested in this position?

Apply directly on the company website

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