Data Scientist

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Overview

The position of Data Scientist at Instacart is part of a broader pool of multiple openings within a multidimensional marketplace. This opportunity invites candidates into a vibrant data science team that is instrumental in addressing significant challenges affecting everyday grocery purchases. As part of the recruitment process, successful candidates will participate in a team-matching exercise that applies their skills across various data science roles, ensuring that their expertise finds a suitable application within the organization.

Job Responsibilities

The role requires the data scientist to engage in various activities that crucially influence product decision-making. Key responsibilities include:

  1. Owning analytical frameworks that shape product roadmaps. This involves designing rigorous experiments and interpreting their results to derive actionable insights.

  2. Developing statistical models to identify trends, measure results, and forecast future performance. This aspect highlights the importance of data analysis in portraying a clear picture of product dynamics.

  3. Building simulations intended to project the impacts of different product and policy interventions, which aims to empower the organization’s decision-making with evidence-based data.

  4. Democratizing data through tools like dashboards to enable objective decision making across departments.

  5. Providing a data-driven perspective using expertise in various sophisticated mathematical techniques like causal inference, machine learning, and more to steer the future direction of Instacart's services.

  6. Finally, candidates will be expected to present their findings effectively to influence the leadership's strategic choices across the organization.

Qualifications

Minimum Qualifications

To be considered for this position, candidates should possess:

  • A minimum of 2+ years experience in a quantitative role within a product-oriented company or research organization.
  • The ability to conduct rigorous experiments and provide scientifically-based recommendations.
  • Proficiency in crafting complex SQL queries to extract pertinent data.
  • Competence in programming languages such as Python or R, essential for data analysis.
  • A genuine desire to enhance consumer-oriented software products and translate business challenges into actionable analytical frameworks.
  • A flexible mindset, eagerness to learn, and adaptability to the dynamic nature of the role and environment.

Preferred Qualifications

While not mandatory, the ideal candidate will also have:



  • A clear understanding of business trade-offs, particularly within a multi-sided marketplace.
  • Confidence in collaborating with cross-functional teams, including Product and Engineering, at a senior level.
  • An advanced degree such as an MS or PhD in Statistics, Economics, Applied Mathematics, or a related field.

Team Structure and Open Roles

Instacart emphasizes a collaborative environment where teams are outlined with specific focuses. One highlighted area is the Ads & Ecosystems Carrot Ads team, which is dedicated to supporting retailers and e-commerce platforms in maximizing revenue through impactful ad strategies. The growth potential within this framework is significant, and there are varied roles tailored for different interests and competencies.

Compensation and Benefits

Instacart offers a highly competitive salary structure and benefits package tailored to the specific location of employees. The role is labeled as remote, and it primarily targets candidates based in Canada, specifically the provinces of Ontario, Alberta, British Columbia, and Nova Scotia.

The base pay range starts at CAN $117,000 and can go up to CAN $150,000, depending on the experiences and qualifications of the candidate. Notably, when hired, successful candidates are also eligible for equity grants, which may include both new hire grants and annual refresh grants, allowing them to partake in the company’s financial success.

As the hiring process is ongoing, offers may vary based on multiple factors such as individual experience and the specific skills required for the role, emphasizing the importance of demonstrating competency during the interview process.

In summary, this role at Instacart provides a compelling opportunity for those with the right skill set and ambition to contribute significantly to a leading data science team, impacting how groceries are sourced and delivered, enhancing consumer experiences across the board. The position carries a blend of technical ability, creative problem-solving, and strategic influence within a well-respected organization.



This job offer was originally published on jobicy.com

Instacart

Canada

Data science

Full-time

March 10, 2025

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