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
About the Role
This is a general posting for multiple Sr. 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.
About the Team
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
- 6+ 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
Preferred Qualifications
- 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
OPEN ROLES:
Marketplace Balancing & Coordination
We are looking for an experienced data scientist with a background in complex and dynamic marketplace problems. The successful candidate will take on a leading role working on Instacart’s core marketplace problems including shopper pay and incentives, marketplace balancing, and experimentation. The role will partner with senior product managers and engineers to tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace.
Partnerships
We are looking for an experience data scientist that will work on Partnerships. The Partnership team launches needle-moving partnerships with a range of companies, such as Peacock, to drive incremental growth for Instacart. We are in search of an experienced data scientist to join our team and support this critical growth initiative. The successful candidate will be responsible for advancing our measurement frameworks, as well as driving insights via experimentations and comprehensive data analyses.
#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. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
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 Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$158,000—$208,000 CAD
Top Skills
Instacart Toronto, Ontario, CAN Office
We're located in Toronto's historic Liberty Village-a neighborhood that's at the heart of Toronto's thriving technology scene. Our office is a refurbished carpet factory, and it's surrounded by lofts, coffee shops, restaurants, and pubs that locals love.
