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Agro Analytics Lead

hace 2 meses

Girona, Gerona, España PepsiCo A tiempo completo

About the Role

This is an exciting opportunity to drive PepsiCo's digital evolution and accelerate transformation across our global operations. As part of the Analytics stream of the Global Agro Digital Transformation initiative, this role will support the development of analytics use cases for Agro, focusing on data exploration and visualization, and the modeling of agricultural processes.

Key Responsibilities

  1. Collaborate with Business Stakeholders: Communicate with business stakeholders in the process of service design, training, and knowledge transfer to ensure seamless project execution.
  2. Lead a Team of Data Scientists: Day-to-day guidance of a small team of data scientists, aligning priorities and solutions with the project lead to drive project success.
  3. Generate Insights and Recommendations: Generate insights from agronomic data to provide recommendations to maximize the agricultural production of supplies in a sustainable way and with good quality.
  4. Data Access and Preparation: Ensure data access for discovery and proper data is prepared for model usage, partnering with data engineers to drive data-driven decision making.
  5. Analytics Pipelines and Dashboards: Generate analytics pipelines and dashboards to refresh and share results for main use cases, including geo-spatial information, to enable stakeholders to have access to main results.
  6. Large-Scale Experimentation: Support large-scale experimentation and build data-driven models to drive business growth.
  7. Model Deployment: Deploy reusable models and recommendations engines to different regions, with proper localization to its particularities.
  8. Methodology Research: Research in methodologies to fine-tune the approach for every analytics use case, with the validation of leads.
  9. Reusable Packages and Libraries: Generate reusable packages or libraries, with proper documentation, to drive consistency and efficiency.

Requirements

  1. Technical Lead Experience: 1+ years of technical lead / coordination of a team of data scientists.
  2. Client-Facing Experience: 2+ years client / stakeholder facing experience, to collect requirements / specifications, present results and gather feedback.
  3. Revenue Management or Supply Chain Experience: 4+ years experience building solutions in the revenue management or in the supply chain space.
  4. Team Collaboration: 4+ years working in a team to deliver production level analytic solutions - Fluent in git (version control).
  5. ETL and Data Wrangling: 4+ years experience in ETL and/or data wrangling techniques - Fluent in SQL syntax.
  6. Statistical and ML Techniques: 4+ years experience in Statistical / ML techniques to solve supervised (regression, classification) and unsupervised problems.
  7. Business Problem Modeling: 3+ years experience in developing business problem related statistical / ML modeling with industry tools with primary focus on Python or PySpark development.
  8. MLOps Framework Design: Experience with MLOps framework design and building machine learning pipelines.
  9. Containerization and REST API: Knowledge of containerization technology (Docker/Kubernetes) and REST API design.

Additional Qualifications

Ideally, experience with MLflow.

About PepsiCo

Hybrid work model: combination of remote and collaborative office experience to enable innovation. Entrepreneurial environment in leading international company.