Global Agro Data Science Senior Analyst

TN Spain; Cornellà del Terri; Híbrido; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

Una empresa innovadora busca un profesional apasionado por la transformación digital en el sector agrícola. Este rol clave implica generar insights a partir de datos agronómicos, desarrollar modelos analíticos y crear dashboards para facilitar la toma de decisiones. La posición ofrece un entorno híbrido que combina trabajo remoto y colaboración en oficina, fomentando la innovación y el crecimiento profesional. Si te entusiasma la idea de impactar en la producción agrícola sostenible y deseas formar parte de un equipo diverso y dinámico, esta es tu oportunidad.

Servicios

Modelo de trabajo híbrido

Oportunidades de crecimiento profesional

Beneficios para el bienestar físico y emocional

Oportunidades de voluntariado

Formación

• 3+ años de experiencia en soluciones de cadena de suministro.
• Fluidez en SQL y herramientas de visualización de datos.

Responsabilidades

• Generar insights a partir de datos agronómicos para maximizar la producción agrícola.
• Crear pipelines de análisis y dashboards para compartir resultados.

Conocimientos

Soluciones de cadena de suministro

Análisis de datos

Técnicas de ETL

Técnicas estadísticas/ML

Desarrollo en Python

Uso de conjuntos de datos geo-espaciales

Visualización de datos (PowerBI)

Herramientas

Git

PowerBI

Docker

Descripción del empleo

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Client:

PepsiCo

Location:

Barcelona, Spain; Vitoria-Gasteiz, Spain

Job Category:

Other

EU work permit required:

Yes

Job Views:

3

Posted:

24.04.2025

Expiry Date:

08.06.2025

Job Description:

Overview

Are you ready 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, mostly in the data exploration and visualization, and the modeling of agricultural processes (crop modeling, storage modeling). In this role, you will be in charge of generating insights from agronomic data, in order to provide recommendations to maximize the agricultural production of supplies in a sustainable way and with good quality.

Responsibilities

Your day to day with us

1. Generate insights from agronomic data, in order to provide recommendations to maximize the agricultural production of supplies in a sustainable way and with good quality.
2. Ensure data access for discovery and proper data is prepared for model usage partnering with data engineers.
3. 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.
4. Support large-scale experimentation and build data-driven models.
5. Deploy reusable models and recommendations engines to different regions, with proper localization to its particularities.
6. Research in methodologies to fine-tune the approach for every analytics use case, with the validation of leads.
7. Generate reusable packages or libraries, with proper documentation.

Qualifications

What you will need to succeed

1. 3+ years’ experience building solutions in the supply chain space.
2. 3+ years working in a team to deliver production level analytic solutions - Fluent in git (version control).
3. 3+ years’ experience in ETL and/or data wrangling techniques - Fluent in SQL syntax.
4. 3+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
5. 3+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or PySpark development.
6. Experience using geo-spatial datasets.
7. Fluent in one Visualization tool, ideally PowerBI.

Additional qualifications that will make you stand out for this position

1. Experience with crop modeling is a plus.
2. Experience with climate/weather data is a plus.
3. Experience with remote sensing is a plus.
4. Understanding of Docker is a plus.

What makes us different?

1. Hybrid work model: combination of remote and collaborative office experience to enable innovation.
2. Entrepreneurial environment in leading international company.
3. Professional growth possibilities & learning opportunities.
4. Variety of benefits to support your physical, emotional and financial wellbeing.
5. Volunteering opportunities to help external communities.
6. Diverse team with more than 30% of female representation & over 30 nationalities.
7. Have a stake in D&I strategy and bring your whole self to work.

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.

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