Úta Science Analyst

Overview 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 $79 billion in net revenue in 2021, driven by a complementary beverage and convenient foods portfolio that includes LAY’S ®, DORITOS ®, CHEETOS ®, GATORADE ®, PEPSI ®, QUAKER ® and more. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales. Guiding PepsiCo is our vision to Be the Global Leader in Beverages and Convenient Foods by Winning with PepsiCo Positive (pep+). pep+ is our strategic end-to-end transformation that puts sustainability and human capital at the center of how we will create value and growth by operating within planetary boundaries and inspiring positive change for planet and people. Our employees drive our culture. No two days are the same; we are dynamic and full of passionate teams that embrace new ideas through our collaborative spirit. At PepsiCo, we know that our company can only succeed when our associates and the society we serve flourishes. We are committed to fostering a diverse workforce by creating a collaborative, equitable and inclusive space where everyone, regardless of what we look like, where we come from or who we love, has a voice. At PepsiCo we create a Space to be you. Learn more about our culture and life at PepsiCo: https://stories.pepsicojobs.com/ Responsibilities Support the design and development of optimization and simulation models. Implement and calibrate optimization and simulation models. Support the deploy of optimization and simulation models as a service by leveraging cloud platforms. Build complex datasets from multiple data sources. Develop source code and troubleshoot data issues and model solutions. Support building data ingestion pipelines for optimal efficiency. Active contributor to code development in projects and services Act as contributor in innovation activities Partner with ML engineers working on industrialization. Support the development team members in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Assess KPIs and metrics to evaluate analytics solution given a particular use case. Training in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Support the creation of reusable packages or libraries. Qualifications Qualifications: 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 Advanced programming skills 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 2+ years’ experience building solutions in the commercial or in the supply chain space. 2+ years working in a team to deliver production level analytic solutions. Business storytelling and communicating data insights in business consumable format. Experience with working with relational databases and query authoring (SQL) is a plus. Experience with Agile methodology for team work and analytics ‘product’ creation is a plus. Experience with Azure cloud services is a plus. Experience with working with FAIR data is a plus. Experience with Responsible AI is a plus. Strong written, oral communication, and interpersonal skills Strong project management, organizational, and prioritization skills with the ability to deal with ambiguity while juggling multiple priorities What can you expect from us? Competitive compensation A flexible work environment that promotes a healthy balance between personal and professional life A dynamic and inclusive culture A supportive team that will foster your professional growth and development Opportunity to work with relevant projects worldwide Opportunity to give back to the community with our volunteer programs At PepsiCo, we are committed to providing equal development opportunities for all job candidates without exception of race, religion, gender, sexual orientation, marital status, age, national origin, or type of disability. We respect and value diversity as a workforce and innovation for the organization. If you meet the profile, apply by this means and if you meet the profile we will contact you, otherwise we will keep your information in our portfolio. Thank you so much for considering PepsiCo to start or continue your career!