Global Agro Analytics Data Science Manager

hace 5 días

Girona, Gerona, España Pepsico A tiempo completo
About the Role

We are seeking a highly skilled Data Science Manager to join our Global Agro Analytics team at PepsiCo. As a key member of our team, you will be responsible for driving the development of analytics use cases for Agro, focusing on data exploration and visualization, and modeling of agricultural processes.

Key Responsibilities
  • Communicate with business stakeholders to design, train, and transfer knowledge.
  • Lead a small team of data scientists, aligning priorities and solutions with the project lead.
  • Generate insights from agronomic data to provide recommendations for maximizing agricultural production in a sustainable way.
  • Ensure data access for discovery and prepare data for model usage, partnering with data engineers.
  • Develop analytics pipelines and dashboards to refresh and share results for main use cases, including geo-spatial information.
  • Support large-scale experimentation and build data-driven models.
  • Deploy reusable models and recommendations engines to different regions, with proper localization.
  • Research methodologies to fine-tune the approach for every analytics use case, with validation of leads.
  • Develop reusable packages or libraries, with proper documentation.
Requirements
  • 1+ years of technical lead/coordinator experience for a team of data scientists.
  • 2+ years of client/stakeholder-facing experience, collecting requirements/specifications, presenting results, and gathering feedback.
  • 4+ years of experience building solutions in revenue management or supply chain space.
  • 4+ years of experience working in a team to deliver production-level analytic solutions.
  • Fluent in git (version control).
  • 4+ years of experience in ETL and/or data wrangling techniques.
  • Fluent in SQL syntax.
  • 4+ years of experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
  • 3+ years of experience in developing business problem-related statistical/ML modeling with industry tools, focusing on Python or PySpark development.
  • Experience with MLOps framework design and building machine learning pipelines.
  • Knowledge of containerization technology (Docker/Kubernetes) and REST API design.
Preferred Qualifications
  • Experience with MLflow.
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.

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