# Senior Manager, Marketing Decision Science

**Company**: Instacart
**Location**: United States - Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $202,000 - $255,500
**Category**: Data Science
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/instacart/jobs/8237126?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_a9511ccc-888

## Description

We're transforming the grocery industry at Instacart, a company that enables customers to order groceries and household goods online and have them delivered to their doorstep.

The Marketing Data Science & Analytics (MDSA) team is Instacart's analytical engine for Paid Media, SEO, and Retailer Marketing. We're looking for a Senior Manager to lead the Marketing Decision Science team, which is a group of Decision Scientists embedded across Paid Media, SEO, and Retailer Marketing.

**Responsibilities**

- Lead and develop a team of 5 Decision Scientists and Marketing Analysts, owning their performance, growth, and day-to-day direction.

- 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.

- 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.

- Define and drive the Marketing Decision Science roadmap in partnership with the Director.

- 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.

- 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: incrementality testing, marketing mix modeling, attribution, LTV-based optimization, and channel-level performance analytics.

- Strong SQL and data fluency.

- 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.

**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.

**Compensation and Benefits**

- Highly market-competitive compensation.

- Eligible for a new hire equity grant and annual refresh grants.

- Base pay range: $202,000 - $255,500 USD depending on location.

## Skills

### Required
- data science
- analytics
- paid marketing measurement
- SQL
- data fluency

### Nice to have
- geo-experimentation
- Bayesian methods
- causal inference frameworks
- LTV-based media optimization
- budget allocation modeling

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/instacart/jobs/8237126?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)