Job Offers


Sr Principal Data Scientist Innovation Lead


Barcelona, Spain - Semi-Presence


PepsiCo is using the power of data to transform the way our world famous portfolio of brands are sold every day. Our Data Science & Analytics group influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the data science roadmap across all of our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.

The role
Your role will be to be part of growing team based in Barcelona, to create and support global digital developments for PepsiCo. These developments will be around topics like revenue management, supply chain, manufacturing, logistics.
You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing.

Your Day to Day with us:
• Lead other team members in the different digital projects acting as tech lead for the project.
• Act as a subject matter expert across different digital projects.
• Act as stream leader 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 working on industrialization.
• Coordinate work activities with 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.
• Create reusable packages or libraries.


What will you need to succeed?
• 8+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus.
• 8+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis.
• 8+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus.
• 8+ 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 Jira, Confluence.
• Experience with Azure cloud services is a must.
• Experience with Reinforcement Learning, Simulation and Optimization problems in any space, Bayesian methods, Causal inference, NLP is a plus, working with FAIR data, Responsible AI are a plus

What makes us different?
• Hybrid work model: combination of remote and office options
• Flexible work schedules & Work-life balance
• Position with growth possibilities
• Develop a Machine Learning career in an international company
• Create your leadership footprint as you grow
• Be part of a dynamic collaborative culture

PepsiCo Data & Analytics Overview:
With data deeply embedded in our DNA, PepsiCo Data & Analytics transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.

About us

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated more than $64 billion in net revenue in 2018, driven by a complementary food and beverage portfolio that includes Frito-Lay, Gatorade, Pepsi-Cola, Quaker and Tropicana. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including 22 brands that generate more than $1 billion each in estimated annual retail sales. Guiding PepsiCo is our vision to Be the Global Leader in Convenient Foods and Beverages by Winning with Purpose. “Winning with Purpose” reflects our ambition to win sustainably in the marketplace and embed purpose into all aspects of the business. For more information, visit

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