Data Scientist
This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page.
With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you’re targeting a senior title, you’ll need to prove to the team that you’re operating at that level.
You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive 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 to project impact of various product and policy interventions
- Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
- Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
- Present findings in a compelling way to influence Instacart’s leadership
ABOUT YOU
Minimum Qualifications- 2+ years experience working in a quantitative role at a product company or a research organization
- Ability to 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 desire to build and improve consumer software products
- 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
- Awareness of business trade offs when working on a multi-sided marketplace
- Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
- MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field