Senior Manager, Marketing Decision Science

🕒 September 28

🇨🇦 Canada – Remote

💵 $198k - $209k / year

⏰ Full Time

🟠 Senior

🎡 Marketing

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 40 days.

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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 delivery of paid marketing analytics workstreams, including channel-level goal-setting, pacing, incrementality testing, acquisition and retention analysis, and Retailer Marketing measurement • Lead contributions to the unified marketing measurement framework, including MMM, incrementality testing, LTV, and MTA • Drive re-goaling, rebasing, and scenario modeling to inform marketing budget allocation • Serve as primary analytical point of 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 with Marketing Data Science 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 independently own senior cross-functional relationships and represent a data science function in leadership forums • Ability to translate 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

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

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