Data Science Associate Manager
Indexed description
Responsibilities
- 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
- Hybrid work model: combination of remote and collaborative office experience to enable innovation
- Entrepreneurial environment in leading international company
- Professional growth possibilities & learning opportunities
- Variety of benefits to support your physical, emotional and financial wellbeing
- Volunteering opportunities to help external communities
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.
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