Senior Data Scientist

Full time

Employment Information

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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. The Marketing Science & Technology team is an in-business analytics and product team responsible for enabling next-generation Data-Driven Modeling. The Marketing Science & Technology team features team members with a variety of both specialized and general skills to realize this vision.

As a Senior Data Scientist in this role, you will work as the primary modeler for our in-house Marketing Attribution (MMM) and Optimization model. You will be responsible for ensuring input data fidelity, and producing results that are statistically sound. In addition to your primary function, you will work with Principal Data Scientists to research and implement econometric/statistical and mathematical optimization solutions to strengthen and enhance the Attribution and Optimization model.

You will work with Data Engineers, Machine Learning Engineers, and Front-End Designers/Developers to ensure quality of data and results and debug errors as necessary. The Senior Data Scientist is expected to be a strong team-player and take on a player-coach role within the team. You must possess the desire to: (1) train junior data scientists on modeling procedure; (2) coach junior data scientists on understanding, shaping, and validating data; (3) ensure requirements are met or communicate roadblocks; and (4) train junior data scientists to execute, tune, and validate the model.

What you will do:

  • Independently execute the Attribution and Optimization model balancing accuracy
  • Communicate and translate results in the context of the business and quantify uncertainty
  • Help Decision Scientists, Business Analysts, and Data Science leadership recommend strategies and operational tactics under uncertainty
  • Develop compelling measurement plans and model/forecast scoring methods to track predictions against actuals (while considering the cumulative and delayed effects of marketing efforts and uncertainty)
  • Design, develop and program methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions to generate business impact
  • Work across multi-disciplinary teams to translate business needs into testable hypotheses and design experiments to test said hypotheses
  • Collaborate with other members of the team to support investigation across a variety of topics
  • Research, recommend, and apply appropriate statistical, econometric, mathematical, and computational modeling concepts across domains
  • Work with Machine Learning Engineers to convert experimental code to production code
  • Unit test production model code to ensure quality
  • Take an active role in recruiting, training, guiding, and mentoring junior team members
  • Ensure data and code integrity by conducting documentation and code reviews
  • Implement strategic analyses with the know-how to balance getting the details right, while still moving at the speed of business


  • A quantitative MS/PhD and minimum of 3 years of demonstrated success in Data Science
  • 3+ years of experience in deploying data science in a business environment and fact-based evidence/anecdotes of implementation and impact from such deployments
  • Experience in Time Series modeling and the complexity of Time Series
  • Expertise in Bayesian modeling and Bayesian inference
  • An understanding of uncertainty principles in modeling and leverage distributional predictions to represent uncertainty and risk
  • The ability to accurately scope modeling projects and estimate levels of effort in sprint planning
  • Collaboration skills and experience working with cross-functional teams and effectively communicate findings and recommendations to non-technical stakeholders
  • A team-player and a team-first mentality
  • Excellent oral and written communication skills
  • Excellent Data Story telling skills
  • A highly detail–oriented and organized working style—ensuring model documentation excellence
  • Strong business, economic, and financial acumen

You will stand out if you have one or more of the following:

  • The ability to quantify indirect effect of treatments utilizing Bayesian/Causal Networks or Halo Effects
  • Experience incorporating expert qualitative business knowledge and A/B test results to adjust and tune model results
  • Familiarity and experience with conformal prediction, and diffusion methods is a plus
  • Demonstrated experience with applying integer and linear optimization methods to drive business goals/KPI outcomes
  • Strong working knowledge of causal inference techniques
  • Familiarity of advanced optimization methods
  • Demonstrated success in Data Science within the Marketing Domain
  • Experience working in CPG, Media, or Retail on the client or agency side
  • Domain knowledge on marketing and/or Market Mix Models
  • Up to date and passion for staying current with various modeling techniques and a demonstrated history of utilizing champion challenger principles to ensure model
  • 2+ years of demonstrated experience working directly or indirectly with Python in a full-stack Data Science product environment
  • Experience working with engineers to convert prototype code into production ready code
  • Experience working with Bit Bucket, Git, Google Cloud Platform
  • Experience working in an agile setting and the familiarity of agile principles

Company Overview

Keurig Dr Pepper (NASDAQ: KDP) is a modern beverage company with a bold vision built to deliver growth and opportunity. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!

Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that’s proud of its brands, partnerships, innovation, and growth. Will you join us?

We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~28,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work.

Keurig Dr Pepper is an equal opportunity employer and affirmatively seeks diversity in its workforce. Keurig Dr Pepper recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law.


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