Data Scientist

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Overview

The Data Scientist position at Instacart is an enticing opportunity for professionals looking to dive into data science within a fast-paced environment. As part of a growing data team, you will engage in solving complex problems that affect the online grocery shopping experience. This position is particularly attractive for individuals who thrive on analytical challenges and are eager to influence decision-making across the organization.

Job Role

This is a general job posting for various roles within the data science domain across Instacart’s unique 4-sided marketplace. The hiring process includes a team-matching exercise toward the end, which allows candidates to align with the best fit in the team based on their skills and preferences. The position demands a self-driven individual, capable of designing and interpreting experiments and deriving actionable conclusions from data—modifiable to improve product usability.

Responsibilities

  • Own analytical frameworks guiding the product roadmap.
  • Design experiments and report conclusions that influence product decisions.
  • Develop statistical models for understanding trends, results, and predicting product performance.
  • Create simulations that project the impact of various product policies.
  • Democratize data via dashboards, enhancing decision-making across the company.
  • Utilize expertise in essential areas such as machine learning, behavioral decision theory, and causal inference to significantly improve the product company-wide.
  • Present findings compellingly to influence leadership decisions.

Required Skills

Minimum Qualifications

  • 2+ years experience in a quantitative role—preferably in a product-oriented company or research organization.
  • Proficient in running rigorous experiments and deriving scientifically sound recommendations.
  • Ability to write complex and efficient SQL queries for data extraction.
  • Proficient in coding with Python or R.
  • A strong desire to improve consumer software products.
  • Skills to translate business needs into actionable analytical frameworks.
  • A growth mindset, flexibility, and the ability to navigate a dynamic work environment.

Preferred Qualifications

  • Awareness of business trade-offs in multi-sided marketplaces.
  • Confidence in collaborating with senior-level stakeholders from Product, Engineering, etc.
  • Advanced educational qualifications such as MS/PhD in Statistics, Economics, or Applied Mathematics.

Open Roles in the Team

One of the specific teams mentioned is the Carrot Ads team, which focuses on empowering retailers by utilizing Instacart's advertising technology. The team’s objective is to engage consumers through innovative ad formats that help build valuable connections between Consumer Packaged Goods (CPG) brands and consumers, thereby driving significant growth.


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Compensation and Benefits

Instacart boasts a competitive compensation package. The base pay range for candidates in Canada varies from CAN $117,000 to $150,000 CAD, depending on experience and skills pertinent to the role. It is essential to note that offers may differ based on various factors, including education and demonstration of performance in interviews. Further, this role is also eligible for an equity grant upon hire, with the prospect of annual refresh grants, making the overall compensation package even more enticing.

Conclusion

In summary, the Data Scientist role at Instacart is perfectly suited for individuals passionate about leveraging data to influence significant business decisions. If you meet the required qualifications and are eager to contribute to transforming product usability and strategy in a data-efficient manner, this opportunity could be your next career leap.



This job offer was originally published on jobicy.com

Instacart

Canada

Data science

Full-time

June 12, 2025

11 views

1 clicks on Apply Now


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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.