ph3Overview /h3 pThe next great shift in consumer behavior driven by technological disruption is underway, and it’s happening in the food beverage industry. As other sectors have shifted to Digital Commerce-first business models in recent years, food beverage has continued to rely predominantly on traditional brick mortar models, but this is changing rapidly. New technologies are transforming every aspect of reaching consumers, from the rise of digital marketing and online grocery platforms to the creation of supply chain tools that enable speedy at-home delivery. Although PepsiCo is a large multinational, the PepsiCo Global Digital Commerce Team prides itself on having the entrepreneurial, action-oriented culture of an exciting startup business. Our group includes startup founders, Silicon Valley veterans, food beverage experts, and seasoned executives from digital transformation leaders such as Amazon and Walmart. Our goal is to build the technological products and capabilities that will reinvent our industry and make us the #1 food beverage business in Digital Commerce for decades to come. To deepen our efforts to seize this opportunity and lead the food beverage industry into its remarkable next chapter, PepsiCo – a general company with powerhouse brands including Frito-Lay, Gatorade, Pepsi-Cola, Quaker, and Tropicana – is expanding its Global Digital Commerce Team to power International Growth. We’re looking for the greatest minds in data analytics, data engineering, software development, machine learning optimization and more. All with the aim to empower out International expansion and delight our consumers through addressing of current and future facing butsiness challenges that are complex and require insightful and impactful solutions. We are looking for seasoned data scientist to join our team as we continue to grow our capability footprint across regions.



The DS will be part of a collaborative interdisciplinary team around data, where will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. DS will work closely with process owners, product owners and final business users. /p h3Responsibilities /h3 ul liContribute to best practices for engineering, and coding as part of a world class engineering team in PepsiCo. /li liWork with the product team leveraging our core technology platforms /li liActive contributor to code development in projects and services /li liAct as contributor in innovation activities /li liPartner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. /li liPartner with DS and ML engineers working on industrialization. /li liOccasionally, coordinate work activities with Business teams, other IT services and as required. /li liCommunicate with business stakeholders in the process of service design, training and knowledge transfer. /li liSupport large-scale experimentation and build data-driven models. /li liSet KPIs and metrics to evaluate analytics solution given a particular use case. /li liRefine requirements into modelling problems. /li liInfluence product teams through data-based recommendations. /li liResearch in state-of-the-art methodologies. /li liCreate documentation for learnings and knowledge transfer. /li liCreate reusable packages or libraries.



/li /ul h3Qualifications /h3 ul li4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. /li li4+ years’ experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis. /li li4+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. Experiences with Deep Learning are a plus. /li li4+ years’ experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development. /li liExpertise in creating models that captures the impact of input drivers on KPIS /li liBusiness storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. /li liStrong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities /li liExperience with Agile methodology for team work and analytics ‘product’ creation. Fluent in Jira, Confluence. /li liExperience in Simulation and Optimization problems in any space is a plus. /li liExperience with Responsible AI is a plus. /li liExperience with distributed machine learning is a plus /li liExperience in Retail, E-commerce or Financial Services domain is preferred. /li liVery strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required /li liHands on experience of handling large data sets and use of python/PySpark/SQL/Hive/Impala for data analysis /li liStrong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work. /li liOutstanding written and verbal communication skills /li /ul /p #J-18808-Ljbffr

📌 Data Scientist Technical Lead (Vitoria-Gasteiz)
🏢 PepsiCo
📍 Vitoria-Gasteiz