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.
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
Commerce Platform
This team is a key player in driving affordability for Insacart, through the promotion & adoption of retailer loyalty & discount programs. On this team, you’ll engage in pricing optimizations at item, category, retailer, and geo levels to foster long-term customer growth. You’ll evaluate the effects of the platform’s performance improvements, such as latency reduction for ordering and invoicing.
Growth & Marketing Tech
Instacart’s marketing data science team serves as thought partners and problem solvers for the Growth and Marketing orgs, supporting our broader mission to give everyone access to the food they love. We are responsible for understanding the end to end scope of growth marketing, including how marketing shapes and impacts customer behavior both today and in the long run, the efficiency and performance of any marketing technology we utilize, and what the highest ROI investments are in both marketing and marketing technology. We synthesize our insights and knowledge into actionable tactics, optimizations, and strategy within marketing.
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.
New Bets
The New Bets Data Science team exists to provide data-driven insights and strategic guidance around Instacart’s most promising emerging initiatives, collectively known as “new bets”. You will play a critical role in supporting these exciting new bets, including Instacart Business and Health, by establishing data foundations, discovering new opportunities, and evaluating success using your business judgement and experimentation. The position requires a scrappy, “startup-like” mindset, as you will partner closely with self-directed teams forming new business lines all while leveraging the knowledge and systems of Instacart’s established marketplace.
Order Experience
We are seeking a Senior Data Scientist to join our Order Experience team at Instacart, with a keen focus on enhancing consumer interactions through strategic data-driven insights. The ideal candidate should be passionate about creating a seamless user experience, focusing on optimizing our critical surfaces such as cart and checkout, and playing a significant role in strategic initiatives like Family Account features. This role requires strong product-facing data science experience, strategic thinking, and adeptness at collaborating with stakeholders to translate complex data into actionable product recommendations.
Retailer Storefronts
Retailer Storefronts builds white label storefronts for retail partners and committed to being the best digital enablement platform for our retailers, both online and in-store. DSA supports Retailer Storefronts by leveraging observational data to help drive product and marketing strategies grow our and our retailers’ businesses.
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.
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.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN $158,000—$208,000 CAD