Data Science Manager, Shopping Experience

Instacart

Remote
$192,000 - $202,500 cad py
Fully remote
Lead data science team
Define analytics and experimentation strategy
Optimize consumer app experiences
Instacart is seeking a Data Science Manager to lead a team focused on enhancing the shopping experience through data-driven insights and experimentation. The role emphasizes cross-functional collaboration to drive metrics and improve customer engagement in a fast-paced environment

Job Summary

  • Lead, mentor, and grow a high-performing team of data scientists, setting clear priorities and upholding technical excellence.
  • Define and own the analytics and experimentation strategy across critical shopper surfaces, driving higher conversion, retention, and satisfaction.
  • Partner as a thought leader with Product and Engineering leadership to shape roadmaps and ensure goals are measurable and achievable.

Matching Summary

Match Score: 85

Instacart is seeking a Data Science Manager to lead a team focused on enhancing the shopping experience through data-driven insights and experimentation. The role emphasizes cross-functional collaboration to drive metrics and improve customer engagement in a fast-paced environment.

Salary

$192,000 - $202,500 CAD

Skills & Requirements

Must-have

  • Lead data science team
  • Define analytics and experimentation strategy
  • Optimize consumer app experiences
  • Hands-on expertise in experimentation and measurement
  • Proficiency in SQL and Python or R
  • Translate problems into metrics and roadmaps
  • Cross-functional leadership with Product and Engineering

Nice-to-have

  • Experience in e-commerce or marketplaces
  • Background in ranking or personalization systems
  • Experience scaling experimentation programs
  • Experience leading or partnering with ML teams
  • Familiarity with GenAI and AI-assisted workflows
  • Building data science culture through mentoring

Key Requirements

  • 6+ years of experience in data science or analytics
  • 2+ years directly managing or tech-leading a data science team
  • Proven track record optimizing consumer app experiences at scale
  • Deep hands-on expertise in experimentation and measurement
  • Strong analytical and technical skills with proficiency in SQL and Python or R
  • Demonstrated cross-functional leadership
  • Track record as a data quality champion

Work Rights

Not specified

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