PepsiCo are looking for a Data Scientist for Commercial Digital team to support the ongoing development of our centre in Krakow. With an active, get-things-done fast culture, this is a place where your dynamism and agility will make a difference. Produce, manipulate and interpret model outputs to facilitate use by local teams / tools. Support integration of model outputs into local business processes. Identify and escalate any issues with model performance. Identify and escalate opportunities to enhance and expand model functionality/ applications. Act as lead point of contact with Sector and GBS Advanced Analytics teams. Develop best-practices for digital ordering & customer engagement platform and scale lifting and shifting learnings across countries and categories. Advanced analytics of intermediate / final results and integration learnings, based on local &international experience to digital ordering/customer engagement platform. Ensuring Statistical robustness of the models and model reads. Ensure timely build and refresh of the models so that it can help in timely business decisions Partner with PepsiCo functional teams, agencies and third parties to ensure acquiring, tagging, cataloging and managing data periodically in structured format as needed for measurement statistical models. Create reusable modeling assets(codes, techniques, functions) to cut short refresh and model build time. Engage in R&D to try new modeling techniques to ensure faster and better answers to business problems.
In this role, you will be supporting the team in creating analytics to the new digital solutions platform which is international project in PepsiCo. This position will be responsible for being an owner of advanced analytics models supporting digital ordering and customer engagement platform capability.
To succeed in this role, you will need: At least 2 years of hands-on data science experience (model building, data analytics) Experience in translating business problems into analytics framework and vice versa Very good written and spoken English Knowledge of Russian would be beneficial Advanced knowledge of MS Excel, VBA, SQL Knowledge of R, Python is an asset Able to translate complex concepts into clear stories for the business Knack for new age data platforms, understanding of relational as well as unstructured data, experience in data lake architecture and creation Advanced knowledge of key data science techniques