Data Science Assoc Manager

apartmentPepsico placeVitoria-Gasteiz calendar_month 

Experteer Overview

Data Science Manager to lead a high-performing team delivering scalable analytics and ML solutions. You will drive the technical vision, execution, and adoption of data science initiatives supporting PepsiCo's Strategy and Transformation agenda.
You will partner with business and technology leaders to turn strategic goals into data science roadmaps and measurable outcomes, while fostering a strong data-driven culture. You will mentor and grow the team, oversee end-to-end delivery, and drive production ML systems and modern techniques including Generative AI to create business value.

This role offers hybrid work, entrepreneurial environment, and opportunities for professional growth within a

Compensaciones / Beneficios
  • Lead, mentor, and grow a team of data scientists with technical guidance
  • Own end-to-end delivery of large-scale analytics and ML initiatives
  • Define standards for model development, data pipelines, and ML production workflows
  • Oversee design, deployment, monitoring, and optimization of ML systems in production
  • Translate strategic goals into data science roadmaps with measurable outcomes
  • Drive adoption of modern techniques, including Generative AI when it adds value
  • Communicate progress and impact to business and technical stakeholders
Responsabilidades
  • Master's Degree in a related field or equivalent
  • 5+ years in data science with leadership or people-management responsibility
  • Proven end-to-end ML delivery using diverse data sources
  • Strong Python skills and ability to guide production-quality ML code
  • Solid understanding of software engineering, data engineering, and MLOps
  • 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
Requisitos principales
  • Hybrid work model
  • entrepreneurial environment
  • professional growth opportunities
  • volunteering opportunities
  • wellbeing benefits
  • diverse benefits
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