Senior Manager, Marketing Decision Science

Job not on LinkedIn

🔥 13 minutes ago

🇺🇸 United States – Remote

💵 $202k - $255.5k / year

⏰ Full Time

🟠 Senior

🎡 Marketing

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

💰 $232M Venture Round on 2021-11

Food & Beverage • Logistics • eCommerce

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning performance, growth, and day-to-day direction • Own end-to-end paid marketing analytics workstreams, including 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 covering MMM, incrementality testing, LTV, and MTA • Drive re-goaling, rebasing, and scenario modeling that inform marketing budget allocation • Serve as primary analytical contact for senior marketing leadership and Finance • Represent MDSA in MBRs, SBRs, and Pacing Meetings • Define and drive the Marketing Decision Science roadmap with the Director • Partner on measurement architecture, LTV modeling, and measurement infrastructure • Improve analytical self-serve and reduce recurring reporting through tooling and automation • Build team capacity and coverage plans • Anticipate stakeholder needs and surface proactive insights

🎯 Requirements

• 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, including incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics • Strong SQL and data fluency • Ability to validate and pressure-test analytical output directly in data • Proven ability to independently own senior cross-functional relationships and represent a data science function in leadership forums • 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: experience at a consumer-facing marketplace or high-growth technology company • Preferred: familiarity with geo-experimentation, Bayesian methods, or causal inference frameworks • Preferred: experience with LTV-based media optimization and budget allocation modeling • Preferred: background in building or overhauling channel-level reporting and pacing infrastructure

🏖️ Benefits

• Flexible work location: home, office, or coffee shop • Regular in-person events • New hire equity grant • Annual refresh grants • Market-competitive compensation and benefits