Sr. Data Scientist - Growth & Marketing Tech
InstacartWe'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.
ABOUT THE TEAM
Instacart’s growth data science team operates as thought leaders and problem solvers in tandem with the Growth Systems 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, 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. Our team uses data and analysis to power the growth engine of the company.
ABOUT THE JOB
- Own analytical frameworks that guide marketing strategy and execution
- Design rigorous experiments and causal inference models to draw detailed and actionable conclusions
- Enable confident and objective decision making at both strategic and tactical levels
- Use expertise in causal inference, machine learning, economics, and experimentation to shape the future of Instacart
- Apply marketing and marketing technology domain knowledge to identify high-leverage opportunities and shape the org’s roadmap
- Provide mentorship to junior teammates and colleagues
ABOUT YOU
MINIMUM QUALIFICATIONS
- 6+ years experience working in data-driven analytics/predictive analytics/statistical modeling/data mining (including relevant academic experience)
- Ability to run rigorous experiments or causal inference studies to come up with scientifically sound recommendations, particularly in spaces where data is limited and tradition A/B experiments have limitations
- Strong stakeholder management and executive communication skills; experience regularly delivering presentations to technical and VP / C-Suite level audiences
- Ability to translate business needs into analytical frameworks, code in Python or R and write complex, efficient SQL queries to extract data and thrive in a fast-changing and high-visibility team environment,
- Intellectual curious self-starter who is able to identify and solve end-to-end data problems with explicit direction
- Excited about building a world-class growth data science organization
PREFERRED QUALIFICATIONS
- PhD or MS in computer science, machine learning, statistics, physics, mathematics, economics, or other relevant STEM fields
- 2+ years domain experience in marketing or transferable domain, especially at fast-growing B2C companies
#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.