Data Science Data Science Data Modeler

Your role will be to be part of growing team based in Barcelona, to create and support global digital developments for PepsiCo. As a Data Science Senior Analyst, you will play a pivotal role in leveraging advanced analytics and machine learning to deliver impactful solutions across critical business topics such as Consumer Insights, Revenue Management, Supply Chain, Manufacturing, and Logistics. You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, beginning from the discovery phase through to implementation. You will be an internal ambassador of the team's culture around data and analytics fostering a culture of innovation, analytics, and collaboration fostering a culture of innovation, analytics, collaboration, and being a data driven leader . You will provide stewardship to colleagues in the areas that you are a specialist or you are specializing contributing to the team's growth and success in data and analytics. Contributing member in a digital project acting as tech lead for the project. Act as a subject matter expert in one other digital project. Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Contribute with work activities that involve Business teams, other IT services and 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 solution given a particular use case. Influence product teams through data-based recommendations. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. ~5+ years' experience in ETL and/or data wrangling techniques. Fluent in SQL syntaxis. ~3+ years' experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Scala development. ~ Business storytelling and communicating data insights in business consumable format. Experience with Agile methodology for team work and analytics 'product' creation. Fluent in ADO, Confluence. ~ Experience with Azure cloud services is a must. ~ Experience with working with FAIR data is a plus. ~ Experience with distributed machine learning is a plus