Sr Data Scientist

1 week ago

Camden, United States Campbell Soup Company Full time

Since 1869 we've connected people through food they love. Our history was created by remarkable people, ideas, and innovations. It serves as inspiration and foundation for our future success. We're proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell's brand, as well as Michael Angelo's, noosa, Pace, Pacific Foods, Prego, Rao's Homemade, Swanson, and V8. In our Snacks division, we have brands like Cape Cod, Goldfish, Kettle Brand, Lance, Late July, Pepperidge Farm, Snack Factory, and Snyder's of Hanover. We foster a culture of belonging where people come first, and diversity is embraced. And we live our values, always, while setting the highest standards for performance. Here, you will make a difference every day. You will be part of a dynamic, collaborative, and competitive team. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us. General Summary The Senior Data Scientist will enhance the Procurement organization's capabilities through data science and advanced analytics. This position is responsible for contributing to the execution of initiaitives that leverage data to drive efficiency, innovation, and decision-making processes. The role involves close collaboration with IT and cross-functional teams to develop and implement analytical tools and solutions that support the organziation's growth objectives. This is an exciting opportunity to influence our procurement strategies by transforming insights into actionable foresights, and optimizing our operations and contributing to the overall efficiency of the organization. Principal Accountabilities - Develop and apply predictive analytics to align procurement risk management strategies with broader business objectives, facilitating informed decision-making. - Translate complex data insights into actional recommendations, presenting findings to senior management and working closely within procurement teams to implement data-driven solutions. - Implement and optimize analytical solutions to automate procurement processes, enhance decision-making, and identify innovative sourcing opportunities. - Collaborate with IT and business partners to implement data-driven solutions for cost reduction and quality improvement. - Support a culture of innovation, continuous learning, and collaboration, offering expertise and insights to enhance team capabilities and project outcomes. Job Complexity Collaborate effectively across all levels within the organization and with external suppliers in a matrixed environment to align on supply base design and strategic procurement decisions. Balance competing business requirements, such as cost versus innovation or local versus overall benefits, to negotiate and recommend optimal solutions. Navigate and refine complex data environments by spearheading the cleanup and organization of unstructured data, ensuring data quality and accessibility are maintained for effective analysis and insights despite initial data storage and accessibility challenges. Demonstrate a comprehensive understanding of industry costs, procurement methods, pricing practices, as well as the impact of government actions on commodities. Job Specifications Minimum education required: Master's degree, or PhD in Statistics, Economics, Mathematics, Financial Engineering, Operations Research, Engineering, Computer Science or related disciplines Years of relevant experience: 2 years with Bachelor's degree or Master's degree or PhD degree Knowledge, skills and abilities required: Basic: 1 years' experience in open source programming languages for large scale data analysis 1 years' experience with econometric modeling, regression analytics or machine learning 1 years' experience with relational databases Desired: 2 years'

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