Role overview
We believe that culture should be at the cornerstone of everything we do at PepsiCo. We are agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways to bring enjoyment, refreshment and fun to the world.
PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people.
So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.
- We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
#LI-Hybrid
What we're looking for
- Lead and deliver large-scale data analytics and machine learning initiatives
- Design, build, deploy, and maintain scalable ML models and data pipelines in production
- Collaborate with cross-functional teams to analyze large datasets and develop custom models that uncover actionable insights
- Establish best practices for clean, maintainable, and production-ready ML code
- Provide technical thought leadership and support data-driven decision-making across the organization
- Communicate results, trade-offs, and impact to both technical and business stakeholders
- Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
- 3+ years of relevant professional experience in data science or machine learning
- Proven experience designing and delivering ML solutions using diverse data sources
- Strong Python programming skills and solid software/data engineering fundamentals
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Strong foundation in statistical and mathematical modeling
- Experience with cloud-based and distributed computing platforms
- Working knowledge of Generative AI technologies, including LLMs, prompt engineering, and RAG architectures
- Ability to clearly communicate complex technical concepts to diverse audiences
Tags & focus areas
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