Data Science Associate Manager
Overview
We’re seeking a Data Science Manager to lead a high-performing team delivering scalable analytics and machine learning solutions. In this role, you will drive the technical vision, execution, and adoption of data science initiatives that support our global Strategy and Transformation agenda.You will partner closely with business and technology leaders to identify high-impact opportunities and foster a strong data-driven culture.
Responsibilities- Lead, mentor, and grow a team of data scientists, providing technical guidance and career development
- Own the end-to-end delivery of large-scale analytics and machine learning initiatives
- Define standards and best practices for model development, data pipelines, and ML production workflows
- Oversee the design, deployment, monitoring, and optimization of machine learning systems in production
- Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes
- Drive adoption of modern techniques, including Generative AI, where they deliver clear business value
- Communicate technical concepts, progress, and impact effectively to business and technical audiences
- Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
- 5+ years of experience in data science, with leadership or people-management responsibility
- Proven experience delivering machine learning solutions using diverse data sources
- Strong Python skills and ability to guide production-quality ML code
- Solid understanding of software engineering, data engineering, and MLOps best practices
- Experience with deep learning frameworks (TensorFlow or PyTorch)
- Strong foundation in statistical and mathematical modeling
- Experience with cloud-based and distributed computing platforms
- Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures
About PepsiCo
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.
- Master’s Degree in Data Science, Computer Science, Statistics, or equivalent
- 5+ years of experience in data science, with leadership or people-management responsibility
- Proven experience delivering machine learning solutions using diverse data sources
- Strong Python skills and ability to guide production-quality ML code
- Solid understanding of software engineering, data engineering, and MLOps best practices
- Experience with deep learning frameworks (TensorFlow or PyTorch)
- Strong foundation in statistical and mathematical modeling
- Experience with cloud-based and distributed computing platforms
- Experience with Generative AI, including LLMs, prompt engineering, and RAG architectures
About PepsiCo
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.
- Lead, mentor, and grow a team of data scientists, providing technical guidance and career development
- Own the end-to-end delivery of large-scale analytics and machine learning initiatives
- Define standards and best practices for model development, data pipelines, and ML production workflows
- Oversee the design, deployment, monitoring, and optimization of machine learning systems in production
- Partner with business stakeholders to translate strategic goals into data science roadmaps and measurable outcomes
- Drive adoption of modern techniques, including Generative AI, where they deliver clear business value
- Communicate technical concepts, progress, and impact effectively to business and technical audiences