Job description

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 The Marketing Data Science & Analytics (MDSA) team is Instacart's analytical engine for Paid Media, SEO, and Retailer Marketing — partnering with channel leaders, Finance, and senior marketing leadership to ensure every investment dollar is guided by rigorous, causal measurement. The team owns paid channel analytics, incrementality testing, goal-setting and pacing, LTV-based optimization, and a marketing measurement roadmap anchored on Media Mix Modeling, Experiments, LTV & Touchpoints — Instacart's evolving single source of truth for marketing impact. We're looking for a Senior Manager to lead the Marketing Decision Science team — a group of Decision Scientists embedded across Paid Media, SEO, and Retailer Marketing. This is a high-visibility role with direct exposure to marketing leadership and regular presence in senior forums including MBRs, SBRs, and Pacing Meetings. This role reports to the Director of Marketing Data Science & Analytics. About the Job Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction — setting and enforcing a high quality bar across all team output Own the end-to-end delivery of MDSA's paid marketing analytics workstreams: channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement Lead the team's contribution to the unified marketing measurement framework - MMM, incrementality testing, LTV, MTA — coordinating MMM inputs, incrementality test organization, and reporting Drive re-goaling, rebasing, and scenario modeling exercises that directly inform how Instacart allocates its marketing budget Serve as the primary analytical point of contact for senior marketing leadership and Finance — owning those relationships independently and representing MDSA in MBRs, SBRs, and Pacing Meetings Define and drive the Marketing Decision Science roadmap in partnership with the Director, translating business priorities into sequenced analytical investments Partner with Marketing Data Science on Measurement architecture, LTV modeling, and measurement infrastructure Identify opportunities to improve analytical self-serve and reduce recurring reporting burden through tooling and automation Build team capacity and coverage plans proactively, including across periods of reduced availability Anticipate stakeholder needs and surface proactive insights — not just reactive analysis About You Minimum Qualifications 8+ years in data science, analytics, or a quantitative function; 3+ years managing teams of analysts or decision scientists Deep expertise in paid marketing measurement: incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics Strong SQL and data fluency; comfort working directly in data to validate and pressure-test team output Proven ability to independently own senior cross-functional relationships and represent a data science function in leadership forums without requiring escalation Track record of translating complex analyses into clear investment recommendations for non-technical audiences Experience managing and developing Decision Scientists or Marketing Analysts with a high bar for quality and direct feedback delivery Preferred Qualifications Experience at a consumer-facing marketplace or high-growth technology company Familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks Experience with LTV-based media optimization and budget allocation modeling Background in building or overhauling channel-level reporting and pacing infrastructure #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 rea d 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 $242,000 — $255,500 USD WA $232,000 — $245,000 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $222,000 — $234,500 USD All other states $202,000 — $213,000 USD

Requirements

Must-haves

We're transforming the grocery industry
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
Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction — setting and enforcing a high quality bar across all team output
Own the end-to-end delivery of MDSA's paid marketing analytics workstreams: channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement
Lead the team's contribution to the unified marketing measurement framework - MMM, incrementality testing, LTV, MTA — coordinating MMM inputs, incrementality test organization, and reporting
Drive re-goaling, rebasing, and scenario modeling exercises that directly inform how Instacart allocates its marketing budget
Serve as the primary analytical point of contact for senior marketing leadership and Finance — owning those relationships independently and representing MDSA in MBRs, SBRs, and Pacing Meetings
Define and drive the Marketing Decision Science roadmap in partnership with the Director, translating business priorities into sequenced analytical investments
Partner with Marketing Data Science on Measurement architecture, LTV modeling, and measurement infrastructure
Identify opportunities to improve analytical self-serve and reduce recurring reporting burden through tooling and automation
Build team capacity and coverage plans proactively, including across periods of reduced availability
Anticipate stakeholder needs and surface proactive insights — not just reactive analysis
8+ years in data science, analytics, or a quantitative function; 3+ years managing teams of analysts or decision scientists
Deep expertise in paid marketing measurement: incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics
Strong SQL and data fluency; comfort working directly in data to validate and pressure-test team output
Proven ability to independently own senior cross-functional relationships and represent a data science function in leadership forums without requiring escalation
Track record of translating complex analyses into clear investment recommendations for non-technical audiences
Experience managing and developing Decision Scientists or Marketing Analysts with a high bar for quality and direct feedback delivery

Nice-to-haves

Experience at a consumer-facing marketplace or high-growth technology company
Familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks
Experience with LTV-based media optimization and budget allocation modeling
Background in building or overhauling channel-level reporting and pacing infrastructure

Application prep

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Keywords to mirror

sql

Platform: greenhouse
Effort: quick