.Auto req ID : 284985BRAre you ready to work as Sr Data Scientist, Operations Research Engineer in our office located in Barcelona or Vitoria HQ?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, enabling new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.Your day to day with us: Design, develop, implement, calibrate optimization and simulation models.Deploy optimization and simulation models as a service by leveraging cloud platforms.Develop source code and troubleshoot data issues and model solutions.Build complex datasets from multiple data sources.Work in coordination with IT to build data ingestion pipelines for optimal efficiency.Active contributor to code development in projects and services.Act as contributor in innovation activities.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.Occasionally coordinate work activities with Business teams and other IT services as required.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 given a particular use case.Refine requirements into modeling problems.Research in state-of-the-art methodologies.Create documentation for learnings and knowledge transfer.Create reusable packages or libraries.Qualifications/Requirements: What will you need to succeed? Bachelor's or Master's degree in Operations Research, Industrial Engineering, Computer Science, Data Science, Statistics, Mathematics, or equivalent combination of education and experience.Working knowledge in multiple optimization methods (LP, MILP, QCP, MIQP, CP, etc.).Working knowledge in commercial optimization solvers (Gurobi, CPLEX, Xpress, etc.).Working knowledge in model tuning/calibration.Proficiency in working with relational databases and query authoring (SQL).Proficiency in Python, C++ or other programming languages.Working knowledge of GIT, Linux/Unix and Bash/Shell scripting is preferred.Working knowledge of statistical/machine learning tools preferred.What makes us different? Hybrid working model: combination of remote and collaborative office experience to enable innovation.Flexible work schedule.Variety of benefits to support your physical, emotional, and financial wellbeing.Professional growth possibilities & learning opportunities.Volunteering opportunities to help external communities.Space to be you to promote our Diversity & Inclusion strategy
