Remote (Senior) Data Scientist

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Instacart

πŸ“Remote - Canada

Job highlights

Summary

Join Instacart's Data Science team and contribute to transforming the grocery industry by tackling complex problems and driving growth. As a self-driven strategic thinker, you'll own analytical frameworks, design experiments, develop statistical models, and present findings to influence decision-making across the organization.

Requirements

  • 4+ years experience working in a quantitative role at a product company or a research organization
  • Ability to run rigorous experiments and come up with scientifically sound recommendations
  • Ability to write complex, efficient, and eloquent SQL queries to extract data
  • Ability to write efficient and eloquent code in Python or R
  • A desire to build and improve consumer software products
  • Ability to translate business needs into analytical frameworks
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Responsibilities

  • Own analytical frameworks that guide the product roadmap
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions
  • Develop statistical models to extract trends, measure results, and predict future performance of our product
  • Build simulations to project impact of various product and policy interventions
  • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
  • Present findings in a compelling way to influence Instacart’s leadership

Preferred Qualifications

  • Awareness of business trade offs when working on a multi-sided marketplace
  • Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

Benefits

  • Highly market-competitive compensation and benefits
  • New hire equity grant as well as annual refresh grants

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