**Job Overview:**
At Keurig Dr Pepper (KDP), we're expanding the frontiers of data science, engineering, and applied AI to transform how we understand consumers, optimize our business, and power the future of coffee. Our data professionals thrive in a large-scale, fast-paced organization that operates with the energy of a startup-building real-time data products, pipelines, and intelligent systems that drive immediate business value.
As a Machine Learning Engineer within our Data & Decision Science team, you'll combine technical rigor with business understanding-helping commercial, eCommerce, and personalization teams unlock insights from data. You'll leverage your experience in Python, SQL, and modern AI/ML infrastructure to automate processes, deploy learning systems, and make data more actionable across KDP's growing ecosystem.
What You'll Do
+ Independently run projects from conception to completion and manage stakeholder relationships and hit appropriate deadlines and communications
+ Engineer scalable data solutions: Design and optimize ETL and CI/CD workflows across Snowflake, Azure VMs, and other data platforms to enable high-velocity model development and deployment.
+ Operationalize intelligence: Partner with data scientists to productionize LTV and personalization models using agentic AI frameworks and automated training pipelines.
+ Automate for impact: Build scripts, services, and workflows that eliminate manual processes-enabling data and ML products to self-heal, self-update, and evolve with new data.
+ Solve complex problems creatively: Apply your experience in web scraping, data enrichment, and real-time ingestion to source and unify disparate datasets for modeling and decision support.
+ Collaborate across commercialization and eCommerce: Understand the challenges of scaling ML in consumer commerce-supporting smarter pricing, personalization, and marketing optimization.
+ Advance our AI ecosystem: Contribute to MLOps best practices, observability frameworks, and continuous experimentation in Python, SQL, and Azure ML environments.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
**Total Rewards:**
+ Salary Range: $96,800 - $130,000
+ Actual placement within the compensation range may vary depending on experience, skills, and other factors
+ Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage Reimbursement
+ Annual bonus based on performance and eligibility
**Requirements:**
+ You have 5+ years of experience in data engineering, ML engineering, or applied data science.
+ You're fluent in Python and SQL, and have experience working with Snowflake, Azure, or other modern data stacks.
+ You have hands-on experience with automation, scripting, and problem-solving at scale-from process optimization to model deployment.
+ You're comfortable designing solutions in undefined environments and thrive on turning ambiguity into structure.
+ You hold a Master's degree in a quantitative field and are passionate about continuous learning.
+ You stay current on agentic AI, generative modeling, and emerging automation frameworks-and enjoy bringing new ideas to life.
+ You are skilled in consolidating data sources into robust pipelines
+ Combine: You understand commercialization and eCommerce systems, and how data drives product, pricing, and consumer experience decisions. Familiarity with CPG industry dynamics and business operations
**Company Overview:**
Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. 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 ~29,000 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 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.
A.I. Disclosure:
KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to
[email protected] in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.
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.