.OverviewAre you passionate about shaping the future of data science and delivering impactful business solutions on a global scale? Join PepsiCo as a Senior Data Science Analyst (Feature Engineering) and become an integral part of our global data science team. In this role, you'll be at the forefront of digital innovation, working across a diverse array of domains including consumer insights, revenue management, supply chain, manufacturing, and logistics. You will collaborate with a talented, interdisciplinary team of data professionals to develop and deploy advanced statistical and machine learning models, ensuring they are robust, scalable, and aligned with our strategic business goals.Beyond your technical contributions, you'll play a pivotal role in fostering a culture of innovation and continuous learning within the team. By championing data science best practices and working closely with process owners, product owners, and end-users, you'll ensure that our solutions are not only cutting-edge but also practical and valuable to the business. Your expertise will be instrumental in delivering insights that enhance consumer experiences, uncover revenue opportunities, and streamline operations.As an advocate of data-driven decision-making and analytics excellence, you will stay current with the latest trends and advancements in data science and machine learning, incorporating relevant innovations into your work. By joining PepsiCo's Data & Analytics team, you will help transform data into impactful business solutions, driving innovation and fostering a culture of excellence in data science.ResponsibilitiesYour day-to-day with us:Project Participation:Contribute to digital projects, collaborating with team members to ensure successful project execution.Assist in defining and integrating data science needs into product roadmaps.Support ML engineers in transitioning models to scalable, production-ready solutions.Provide data-based recommendations to influence product teams and drive strategic decision-making.Technical Expertise:Provide subject matter expertise and technical support for digital projects.Ensure seamless data access and preparation for model development.Build and validate models to address complex business challenges.Support the adoption and use of the Platform toolset, showcasing 'the art of the possible' through demonstrations to business stakeholders as needed.Innovation and Research:Actively participate in innovation activities, exploring and implementing cutting-edge data science techniques.Stay current with state-of-the-art methodologies, conducting research to integrate the latest advancements into the team's work.Assist in large-scale experimentation, building and validating data-driven models to solve complex business problems.Collaboration and Coordination:Assist product managers in understanding data science requirements and assessing DS components in roadmaps