Are you ready to drive PepsiCo’s digital evolution and accelerate transformation across our global operations? 

With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) 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. The Data Science Pillar in DA&AI  will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI.

Your mission:

The Data Science will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects.  Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. 

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. 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.

Your day to day with us:

• Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
• Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
• Use big data technologies to help process data and build scaled data pipelines (batch to real time)
• Automate the end-to-end ML life cycle with Azure Machine Learning and Azure Pipelines 
• Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
• Automate ML models deployments.

What will you need to succeed?

• Demonstrated 5+ years of overall experience that includes at least 4+ years of hands-on work experience Data Science / Machine learning 
• Minimum 4+ year of SQL experience 
• Minimum 2+ years of Python and Pyspark experience 
• Experience in DevOps and 2+ yrs in Machine Learning (ML) with hands-on experience with one or more cloud service providers AWS, GCP, (Azure preferred) is preferred 
• BE/B.Tech in Computer Science, Maths, technical fields
• Proven ability to effectively engage with business units (BUs) and external vendors to drive project success.

What makes us different?  

• Hybrid work model: combination of remote and collaborative office experience to enable innovation
• Entrepreneurial environment in leading international company
• Professional growth possibilities & learning opportunities
• Variety of benefits to support your physical, emotional and financial wellbeing
• Volunteering opportunities to help external communities 

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.

#LI-Hybrid #Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain