Principal Marketing Analytics Scientist

Keurig Dr Pepper Inc.; Burlington (MA); Hybrid; USD 97,000 - 169,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401k with company match

Tuition Reimbursement

Mileage Reimbursement

Annual bonus

Job summary

Keurig Dr Pepper Inc. seeks a Principal Data Scientist, Marketing Analytics, to lead a cross-functional team at the intersection of marketing data science, data engineering, and AI.

This role designs and operationalizes advanced analytics, measurement, and data integrations to enable smarter marketing decisions and scalable analytics products. Hybrid work model with in-office Tuesdays, Wednesdays, and Thursdays; reports to Senior Director of Marketing Analytics; manages a Marketing Data Science

Qualifications

• 8+ years of experience in Data Science, Analytics, or related technical disciplines.
• Advanced proficiency in Python and SQL; building scalable analytics solutions.
• Experience with cloud platforms (Snowflake, Databricks, AWS, Azure, GCP).
• Experience developing APIs and data integrations.
• Strong ability to translate business needs into scalable technical solutions.

Responsibilities

• Define the roadmap for marketing measurement, analytics, automation, and AI use cases.
• Design scalable analytics solutions and data products for marketing decisions.
• Lead API development and data integrations with cross-functional teams.
• Mentor and manage a Marketing Data Science Analyst.
• Collaborate with Enterprise Data Science to align standards and governance.
• Advocate reusable analytics assets and best practices.

Skills

Python

SQL

Tools

Snowflake

Databricks

AWS

Azure

GCP

Job description

Keurig Dr Pepper Inc. seeks a Principal Data Scientist, Marketing Analytics, to lead a cross-functional team at the intersection of marketing data science, data engineering, and AI.

This role designs and operationalizes advanced analytics, measurement, and data integrations to enable smarter marketing decisions and scalable analytics products. Hybrid work model with in-office Tuesdays, Wednesdays, and Thursdays; reports to Senior Director of Marketing Analytics; manages a Marketing Data Science