Lead Data Science

PepsiCo; Barcelona; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

PepsiCo is seeking a Data Science Senior Analyst in Barcelona to create and support global digital developments. This pivotal role will leverage advanced analytics and machine learning to deliver solutions for key business areas including Consumer Insights and Supply Chain.

The ideal candidate will have significant experience in building deployable models and collaborating closely with stakeholders to drive measurable outcomes. The position requires a strong background in statistical and machine learning techniques, as well as experience with Azure Cloud Services.

Formación

• 5+ years of experience delivering production-level analytic solutions.
• Fluent in SQL syntax and experience with ETL techniques.
• 3+ years in statistical/ML modeling with Python or Scala.

Responsabilidades

• Contribute as a tech lead in digital projects.
• Partner with product managers for DS requirements.
• Support large-scale experimentation and KPI setting.

Conocimientos

Machine Learning

Python

SQL

Data Visualization

Agile Methodology

Statistical Analysis

Herramientas

Azure Cloud Services

GIT

Docker

Jenkins

PYSPARK

ADO

Confluence

Descripción del empleo

Overview

Your role will be to be part of a growing team based in Barcelona, to create and support global digital developments for PepsiCo. As a Data Science Senior Analyst, you will play a pivotal role in leveraging advanced analytics and machine learning to deliver impactful solutions across critical business topics such as Consumer Insights, Revenue Management, Supply Chain, Manufacturing, and Logistics.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible for building deployable statistical/machine learning models, beginning from the discovery phase through to implementation. You’ll collaborate closely with process owners, product managers, and end-users to ensure your developments are aligned with business priorities and drive measurable outcomes.

You will be an internal ambassador of the team’s culture around data and analytics, fostering a culture of innovation, analytics, collaboration, and being a data‑driven leader. You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing, contributing to the team’s growth and success in data and analytics.

Responsibilities

• Contributing member in a digital project acting as tech lead for the project.
• Act as a subject matter expert in one other digital project.
• Be the lead contributor in innovation activities
• Partner with product managers in taking DS requirements and assessing DS components in roadmaps.
• Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
• Lead ML engineers to industrialize solutions.
• Contribute with work activities that involve Business teams, other IT services and as required.
• Drive the use of the Platform toolset and to also focus on 'the art of the possible' demonstrations to the business as needed.
• Communicate with business stakeholders in the process of service design, training and knowledge transfer.
• Support large‑scale experimentation and build data‑driven models.
• Set KPIs and metrics to evaluate analytics solution given a particular use case.
• Refine requirements into modelling problems.
• Influence product teams through data‑based recommendations.
• Research in state‑of‑the‑art methodologies.
• Create documentation for learnings and knowledge transfer.
• Support in creation reusable packages or libraries.

Qualifications

• 5+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
• 5+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
• 3+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
• 3+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development.
• Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool.
• Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities.
• Experience with Agile methodology for team work and analytics ‘product’ creation. Fluent in ADO, Confluence.
• Experience with Azure cloud services is a must.
• Experience in Reinforcement Learning is a must.
• Experience in Simulation and Optimization problems in any space is a must.
• Experience with PYSPARK is a must.
• Experience with NLP is a plus.
• Experience with LLM is a plus.
• Experience with working with FAIR data is a plus.
• Experience with Responsible AI is a plus.
• Experience with distributed machine learning is a plus