Data Scientist I in Burlington, MA at Keurig Dr Pepper

Date Posted: 11/19/2020

Job Snapshot

Job Description

At Keurig Dr. Pepper we are quickly growing and expanding our capabilities around data science, data engineering and data operationalization to create a comparative advantage for our diverse business. Data Scientists on our commercial team are trained to be technical, operational and industry business leaders, acting as critical members of our business teams, helping to achieve above average incremental growth.

Ecommerce is a core initiative at Keurig Dr. Pepper (KDP).  The coffee maker sale is moving online at pace; the majority of small appliance spending is expected to move online over the next 3 years.  Meanwhile, beverage sales are already driving early scale in online grocery at retailers such as, and many others.  KDP Ecommerce, already well developed compared to peer Consumer Packaged Goods (CPG) categories, is well-positioned to drive the majority of KDP’s growth over the next five years. 

As a Data Scientist on the Ecommerce Data Science team you will apply your curiosity and passion to improve KDP’s overall business performance through the analysis of data, development and deployment of predictive models, and the discovery of insights about our online consumers, customers, partners and competitors. In the short-term you will help the ecommerce team better understand their current consumer base, sales channels, and competitor behavior so they can target new consumers, increase sales and share, and increase long-term consumer value for the enterprise.  You will mine POS, Clickstream, Consumer Relationship Management (CRM) and complimentary online retail data, with the goal of developing and deploying real-time predictive modeling tools that deliver a uniquely personalized automated shopping experience across our broad portfolio of online sales channels.

What you will do:

  • Apply data exploration and analysis techniques to examine POS, clickstream, CRM, and complimentary online retail data from multiple disparate sources, with the goal of improving customer understanding and providing a competitive advantage for KDP’s ecommerce business teams.
  • Apply exploratory analysis, statistical and predictive modeling concepts, clustering and classification techniques to identify opportunities across our distribution of channels/partners.
  • Navigate many multi-functional stakeholders and communicate technical results effectively to non-technical audiences.
  • You will receive mentor support from both data science and business leaders for your professional development.
  • You will continue learning with the opportunity to become both a technical and business leader at KDP.


You will ideally have:

•Bachelor’s degree and 1-2 years of experience analyzing data in a professional setting.

•Knowledge of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

•Some understanding of both deterministic and probabilistic modeling techniques and concepts

•Proficiency with one or more statistical analysis and scripting tools including R, Python, Julia, etc.  

•Experience with data extraction and manipulation from relational and non-relational databases.

•Possess excellent oral and written communication skills

•Highly detail oriented and organized

•Possess strong business and financial acumen


Keurig Dr Pepper Inc. is an equal opportunity employer and affirmatively seeks diversity in its workforce. Keurig Dr Pepper Inc. recruits qualified applicants and advances in employment its employees without regard to race, color, religion, sex, gender, sexual orientation, gender identity, gender expression, age, disability, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. EOE Minorities/ Females/ Protected Veterans/ Disabled.