About the job
Join Us in Revolutionizing the Grocery Sector
At Instacart, we are passionate about connecting people with the food they love, ensuring everyone has access to their favorite groceries while spending more quality time with family and friends. What may seem like a straightforward grocery delivery service to some is, to us, a complex and thrilling opportunity to meet the diverse needs of our community. We are committed to providing essential services that our customers depend on while creating safe and flexible earning opportunities for our Instacart Personal Shoppers.
As a critical lifeline for millions, we are expanding our team to drive our mission forward. If you are ready to embark on a fulfilling journey and do your best work, we invite you to join our team.
Flexible Work Approach
At Instacart, we embrace a Flex First culture. There is no one-size-fits-all method for achieving our best work. Our employees enjoy the flexibility to choose their ideal working environment—be it from home, in an office, or your favorite coffee shop—while maintaining connections through regular in-person events. Discover more about our flexible work arrangements.
Position Overview
This general posting encompasses multiple Senior Data Scientist positions within our four-sided marketplace, available at both L5 (Senior Data Scientist I) and L6 (Senior Data Scientist II) levels. As you navigate the hiring process, you will gain insights into the various challenges our Data Science team tackles. Towards the end, we will conduct a team-matching exercise to align you with the roles and teams that best fit your skills. A detailed breakdown of the currently open roles can be found at the end of this posting.
Key Responsibilities
- Develop and maintain analytical frameworks that influence the product roadmap.
- Design and execute robust experiments, interpreting results to draw actionable conclusions.
- Create statistical models to identify trends, assess outcomes, and forecast future product performance.
- Build simulations to evaluate the potential impacts of various product and policy changes.
- Facilitate objective decision-making across the organization by democratizing data through dashboards and analytical tools.
- Leverage expertise in causal inference and machine learning techniques to drive insights.