Senior Marketing Decision Scientist II

ABOUT THE ROLE As a Senior Marketing Decision Scientist II at Instacart, you will play a critical role in shaping the company's marketing strategy by measuring, forecasting, and optimizing marketing performance across various channels. This is a high-impact position that requires a strong analytical background, excellent communication skills, and the ability to work in a fast-paced environment. WHAT YOU'LL DO You will own the end-to-end marketing measurement strategy, designing and launching experiments to quantify lift and inform targeting. You will also build predictive models using SQL and Python or R, and create executive-ready dashboards to track KPIs and explain performance drivers. Additionally, you will partner with Strategic Finance and Marketing leadership on forecasting, scenario planning, and quarterly planning processes. WHAT YOU'LL NEED To be successful in this role, you will need 6+ years of experience in marketing analytics or data science, with a strong background in SQL and either Python or R. You should also have hands-on experience designing and analyzing marketing experiments, as well as experience building business-facing dashboards and self-serve tools. A bachelor's degree in a quantitative field is required, and an advanced degree or 8+ years of experience is preferred. WHY REMOTE Instacart is a Flex First company, which means that you will have the flexibility to choose where you do your best work, whether it's from home, an office, or a coffee shop. You will be part of a tight-knit team of 5 within a broader 9-person marketing data science org, and you will have the opportunity to set the bar for analytical rigor and build systems that last. BENEFITS - Competitive salary - Flexible schedule - Opportunity to work on complex problems that grow the pie for customers, retailers, and partners - Collaborative and dynamic work environment - Access to cutting-edge technology and tools - Professional development opportunities - Comprehensive health plan - Parental leave - Education stipend - Life insurance - Equipment stipend