What you'd actually do

Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.

AI expertise: You will be using and deploying a variety of AI systems in production settings.

Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).

Create the product roadmap

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

**Instacart is a Flex First team **

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

OVERVIEW

Instacart will increase the number of features launched by 2x by the end of 2026 by effectively using AI. A primary driver of knowing which features to launch includes analytical work traditionally performed by data scientists in collaboration with a product team. We are developing systems to accelerate analyses completed by data experts and enable anyone to self-serve most analytics questions.

ABOUT THE JOB

You would be responsible for driving AI for Analytics data science work which includes:

Product strategy: Using data to identify the most promising opportunity areas along with contributing data expertise to refine and develop new product ideas.
AI expertise: You will be using and deploying a variety of AI systems in production settings.
Intelligent systems: Improving a product feature by adding intelligent functionality to the product that relies on data science methods including statistical and machine learning methods

The role requires strong XFN collaboration where an ideal candidate can:

Drive critical efforts to completion with little oversight, while occasionally jumping into roles adjacent to data science (i.e. data engineering, machine learning engineer, etc).
Create the product roadmap
Ruthlessly prioritize among requests from multiple competing stakeholders
Act as a senior cross-functional leader of the team, aligning the team on principles, processes and goals

ABOUT YOU

Minimum Qualifications

6+ years of work experience in a data science or related field
Have deeply engaged with AI workflows
Expert in Python (pandas), SQL, git, and Jupyter notebooks
Strong statistical and analytical skills
Built a machine learning, statistical, or AI model that made its way into production even if the code you wrote was completely rewritten before being deployed

Preferred Qualifications

8+ years of work experience in a data science or related field
Led a cross-functional team to design a system of metrics that connected the business strategy to a set of core metrics and assigned ownership of those metrics to the team
Significant causal experimentation experience
Built a complex machine learning or statistical model and deployed/supported it in production
Experience with Python (pandas; scikit-learn, statsmodels, or PyTorch; a visualization library that is not matplotlib; a web framework such as flask), SQL (Snowflake), git, Jupyter notebooks

#LI-remote

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

$218,000—$230,000 USD

$209,000—$220,500 USD

OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI

$200,000—$211,000 USD

All other states

$182,000—$192,000 USD