Senior Data Scientist, Customer Data & Marketing

About the role

The Senior Data Scientist for Customer Data & Marketing will be a foundational hire on the Data Science team, sitting in the central org and working across LOBs to turn customer data into decisions, experiments, and compounding business impact. This is a hands-on, cross-functional role where you will run experiments, build measurement frameworks, and partner with marketing, product, and LOB leaders.

Responsibilities

• Own the experimentation program end-to-end across LOBs — design, power, analyze, and call experiments in CRM, loyalty, and marketing, and make sure the organization actually acts on the results.
• Build the measurement foundation for centralized marketing: lifecycle metrics, campaign performance, loyalty program health, and the dashboards the business will run on.
• Partner directly with marketing, product, and LOB leaders — membership, Feastables, and beyond — to translate business questions into crisp, quantitative answers.
• Develop segmentation, targeting, and propensity models that drive real campaigns, not just slide decks.
• Partner with Data & Identity engineering to shape the customer data model — so the data you need for experimentation and marketing is actually there, and clean.
• Set the analytical bar for the org: how we measure, how we experiment, and how we decide. Use AI-native tooling and coding agents to move faster than a traditional DS function.

Requirements

• Experimentation-Obsessed: You've run rigorous experimentation programs inside consumer products at scale. You know when to run a test, when to trust a quasi-experiment, and when to stop arguing and ship.
• Marketing & CRM Fluent: You've worked shoulder-to-shoulder with marketing, lifecycle, and loyalty teams — and you know how to translate fuzzy business goals into concrete metrics, tests, and models.
• Cross-Functional Operator: You're comfortable operating centrally and serving multiple LOBs. You can context-switch, prioritize ruthlessly, and build trust with stakeholders who don't all want the same thing.
• AI-Native: You aren't just curious about AI; you are burning through tokens, using coding agents daily, and integrating modern AI tooling deeply into your analytical workflow.
• Scrappy & Scaled: You have the startup experience to build from zero with a nimble team, plus the big-tech exposure to know what good looks like at consumer scale.
• Action-Oriented: You thrive in ambiguity and prefer shipping analyses that change decisions over producing beautiful but inert reports.

Qualifications

• PhD or MS in Statistics, Computer Science, Data Science, or related field.
• 5+ years of experience in data science, machine learning, or related fields.
• Experience with large-scale data processing and analysis tools such as SQL, Python, R, Spark, and Hadoop.
• Strong understanding of statistical methods, machine learning algorithms, and experimental design.
• Experience with customer data management systems and CRM platforms.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Skills

• Expertise in data modeling, predictive analytics, and machine learning.
• Experience with customer data management systems and CRM platforms.
• Strong problem-solving and analytical skills.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Experience with agile methodologies and rapid prototyping.

Benefits

• Competitive Salary
• Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance
• Company contributions to employee Health Savings Accounts (HSA)
• 401k Plan with Safe Harbor company-matching
• Flexible vacation policy and paid company holidays
• Company-provided technology package
• Relocation assistance where applicable, including travel and company-provided housing for the first 90 days