Data Scientist

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Overview

Instacart is seeking enthusiastic Data Scientists for multiple roles within its 4-sided marketplace. This general job posting gives candidates an excellent opportunity to delve into various challenges tackled by the Data Science team. As part of this process, candidates will have the chance to learn about different problems that the team addresses, ending with a team-matching exercise to determine suitable roles within the company.

Job Description

Responsibilities

Candidates will be part of a growing data science team that will tackle significant challenges and influence how consumers buy groceries online. Specifically, candidates will:

  • Own analytical frameworks to guide the product roadmap.
  • Design rigorous experiments that lead to detailed and actionable conclusions.
  • Develop formal statistical models that identify trends and predict future performance.
  • Construct simulations to project impacts of various product and policy interventions.
  • Support data democratization through dashboards and analytical tools,
  • Utilize expertise in complex methodologies such as causal inference, machine learning, and behavioral decision theory to drive company initiatives.
  • Present findings effectively to influence Instacart’s leadership.

Team Dynamics

The role involves close collaboration with other team members and cross-functional stakeholders across different departments, such as Product and Engineering. It emphasizes not just technical competencies but also the ability to influence and communicate effectively at a senior level.

Candidate Qualifications

Minimum Qualifications

To qualify for this role, candidates must possess:

  • At least 2 years of experience in a quantitative role, preferably in a product company or research organization.
  • The ability to execute rigorous experiments with scientifically sound recommendations.
  • Proficiency in writing complex SQL queries to extract relevant data.
  • Expertise in coding with languages like Python or R.
  • An eagerness to construct and enhance consumer software products.
  • The capability to translate business needs into analytical frameworks.
  • A mindset geared for growth to thrive in a dynamic environment.

Preferred Qualifications

While the minimum requirements are crucial, the following qualifications are preferred for candidates seeking a senior position:


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  • Understanding of business trade-offs in a multi-sided marketplace.
  • Confidence and experience collaborating with senior-level stakeholders.
  • A Master’s or PhD in Statistics, Economics, Applied Mathematics, or a similar field.

Specific Roles Offered

  • Ads & Ecosystems: Candidates can also explore opportunities within the Ads & Ecosystems team that focuses on empowering retailers through innovative ad tech.

Compensation and Benefits

Instacart offers competitive compensation and benefits tailored to the employee’s work location. The following salary range is indicated for Canadian-based candidates:

  • Base Pay: CAN $117,000 – $150,000 CAD.

Overall compensation may vary based on candidate experience, expertise, and the specific requirements of the role. The company also incorporates a new hire equity grant and annual refresh grants as part of its offer across locations.

It’s pivotal to note that across Canada, Instacart is currently hiring only in the provinces of Ontario, Alberta, British Columbia, and Nova Scotia. Candidates in these provinces are encouraged to apply, considering the flexible and accommodating remote work policy known as Flex First.

Conclusion

Instacart seeks a self-driven and strategic Data Scientist, with the potential to influence company performance concretely. If you align with the qualifications and are excited to contribute to transformative solutions in grocery purchasing behavior, this role can be a great fit.



This job offer was originally published on jobicy.com

Instacart

Canada

Data science

Full-time

May 12, 2025

32 views

2 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.