Director, Data Science - Marketing

A Place for Mom•New York, NY

2d•$190,000 - $225,000

About The Position

About the Role We are looking for a Director-level Data Scientist to own our marketing measurement infrastructure, attribution frameworks and analytics function, as well as serve as the analytical brain behind our marketing investment decisions. You will manage a team of data analysts while staying hands-on: writing the SQL, running the experiment, and presenting the finding. This is a rare opportunity to own measurement end-to-end where analytics directly drives major revenue decisions. Senior living is a high-consideration, emotionally complex category: long purchase cycles, offline conversion signals, and a consumer making one of the most important decisions of their family's life. The analytical challenges are genuinely hard and genuinely meaningful. You will be embedded across Marketing, Finance, and Operations, owning complex projects end-to-end, championing data quality, and building self-serve tools that make the whole organization smarter. We need someone with strong business intuition alongside technical depth, who surfaces the next opportunity without being asked: direct visibility with senior leadership, the autonomy to build the function the right way, and a seat at the table when marketing investment decisions are made.

Requirements

5–8+ years in marketing data science or analytics; 2+ years managing a team
Deep MMM & MTA experience: vendor management, output interrogation, triangulation
Independent Geo Lift / incrementality test design and analysis
Expert SQL; Python or R
Strong stats & ML foundation: regression, classification, time series, experimentation
Production-grade Tableau
Communicates complex findings clearly to non-technical executives
Self-starter; thrives in ambiguity; growth mindset

Responsibilities

Manage and develop a team of data analysts: set priorities, define standards, conduct 1:1s, and build a high-performance analytical culture
Partner cross-functionally with Marketing, Finance, Technology, and Operations; present findings and roadmap updates to senior leadership
Own end-to-end marketing measurement strategy across paid, organic, referral, and direct channels
Manage measurement vendor relationships: pressure-test outputs, identify gaps, and push back when needed; you are not building these from scratch but must be able to interrogate them
Triangulate across MMM, MTA, and Geo Lift to form a unified, defensible view of channel performance. Reconciling conflicting signals is a core part of this job
Own Tableau reporting: build and update production-grade dashboards for marketing performance, funnel analytics, and conversion tracking
Go beyond reporting: proactively surface non-obvious insights, identify conversion levers, and build a roadmap of testing ideas
Ensure data quality, accessibility, and the democratization of data across the organization
Build self-serve tools and datasets that empower non-analysts to answer their own questions; champion data quality and governance across the team
Write complex SQL daily; own data quality end-to-end across projects — training data, test sets, experiment inputs