Job Description
You will join a growing data science team and will take on challenging and impactful problems, transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner to inform and build product improvements that propel angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.
ABOUT THE JOB
- 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 and model scenarios to project impact of various product and policy interventions
- Leverage data and analytical frameworks to develop and improve the algorithms and models underpinning marketplace fulfillment systems
- Enable and support strategic decisions by developing analytical and experimentation tooling
- Use expertise in causal inference, machine learning, complex systems modeling, economics, operations research, geospatial analysis, etc. to shape the future of Instacart
- Present findings in a compelling way to influence Instacart’s leadership
- Drive collaboration and coordination with cross-functional teams
ABOUT YOU
Minimum Qualifications
- 2+ years experience working in a quantitative role at a product company or a research organization
- Ability to design and 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 passion for turning unstructured and non-standard quantitative problems into positive business outcomes
- 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
Preferred Qualifications
- Experience with analytical and strategic challenges of working on problems in a multi-sided marketplace
- Experience with building, evaluating, and improving statistical, machine learning, and optimization models
- Experience working with geospatial data and methods
- Experience with experimentation in a product-driven setting and in developing experimentation capabilities and tooling
- Excellent written and verbal communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership, product and engineering teams
- MS/PhD in Statistics, Economics, Operations Research, Applied Mathematics, or a similar field
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
CA, NY, CT, NJ
$162,000—$180,000 USD
WA
$156,000—$173,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$149,000—$166,000 USD
All other states
$134,000—$149,000 USD
Company Info.
Instacart
Instacart is an online grocery delivery and pick-up service. The service allows customers to shop for groceries online from various retailers and have them delivered to their doorstep. Instacart partners with a number of grocery stores, including popular chains like Whole Foods, Costco, and Safeway, to offer customers a wide selection of products. Customers can place orders through the Instacart app or website, where they can browse products, add