Data Science Sr Analyst

PepsiCo; Barcelona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading global food and beverage company is seeking a Data Science Sr Analyst in Barcelona. This role involves leveraging advanced analytics and machine learning to drive impactful solutions across various business functions. Candidates should have significant experience in data modeling, teamwork, and familiarity with Azure cloud services. Join our innovative team to foster data-driven decision-making within a collaborative environment.

Formación

• 4+ years’ experience building solutions in the commercial or supply chain space.
• Proficient in git and familiar with Jenkins and Docker.
• Experience with statistical and machine learning techniques.
• Strong organizational skills and ability to juggle multiple priorities.

Responsabilidades

• Act as tech lead for digital projects and support innovation activities.
• Set KPIs and metrics to evaluate analytics solutions.
• Drive the use of the Platform toolset.

Conocimientos

Statistical modeling

Machine learning

Data wrangling

Business storytelling

Herramientas

Python

SQL

Azure

Jira

Confluence

Descripción del empleo

Overview

Your role will be part of a growing team based in Barcelona, to create and support global digital developments for PepsiCo. As a Data Science Sr 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 and 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 data-driven leadership. You will provide stewardship to colleagues in the areas in which you are a specialist or 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 or more digital projects.
• Support 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.
• Partner with ML engineers to industrialize solutions.
• Contribute with work activities that involve Business teams and other IT services as required.
• Drive the use of the Platform toolset and lead demonstrations of the 'art of the possible' 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 solutions for a given use case.
• Refine requirements into modelling problems.
• Influence product teams through data-based recommendations.
• Research state-of-the-art methodologies.
• Create documentation for learnings and knowledge transfer.
• Support in creating reusable packages or libraries.

Qualifications

• 4+ years’ experience building solutions in the commercial or supply chain space.
• 4+ years working in a team to deliver production-level analytic solutions. Fluent in git (version control). Understanding of Jenkins and Docker are a plus.
• 4+ years’ experience in ETL and / or data wrangling techniques. Fluent in SQL syntax.
• 2+ years’ experience in statistical / machine learning techniques to solve supervised (regression, classification) and unsupervised problems. Experience with Deep Learning is a plus.
• 2+ years’ experience in developing business problem–oriented statistical / ML modeling with industry tools, with primary focus on Python or Scala development.
• Business storytelling and communicating data insights in business-friendly format. Fluent in one visualization tool.
• Strong communication 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 Jira, Confluence.
• Experience with Azure cloud services is a must.
• Experience in Reinforcement Learning is a plus.
• Experience in Simulation and Optimization problems is a plus.
• Experience with Bayesian methods is a plus.
• Experience with Causal inference is a plus.
• Experience with NLP 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.

Seniority level: Not Applicable

Employment type: Full-time

Job function: Information Technology

Industries: Manufacturing and Food and Beverage Services

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