Principal Data Scientist

Duties: Drive and advance Artificial Intelligence (AI) initiatives, including providing technical leadership in the day-to-day project portfolio. Design, create, and deliver AI solutions that drive business value creation through the application of data science practices. Orchestrate collaboration with enterprise functions to leverage domain expertise and capabilities to identify areas of opportunity for AI. Execute the development and implementation of short-term and long-term data science strategies with other global system and process owners including SAP, Master Data governance, Encompass, and Global Item Master. Solve complex issues using data science techniques and AI. Analyze business issues and shape analytic results into case studies. Develop framework for large-scale, value-added, predictive solutions that utilize AI. Facilitate the direction of the day-to-day tasks of junior data scientists and interns as it relates to various projects and team initiatives. Promote and develop the adoption of cloud-based technologies and innovative solutions to enhance data science capabilities to add value to all functions. Develop and provide quality metrics and education to stakeholders in data science. Coordinate with system owners and stakeholders to obtain reliable and accurate data and data pipelines required to support new and existing data science solutions built and maintained by the team. Develop financial impacts for existing projects and evaluate new opportunities. Lead change management and navigate interaction with the business. Lead discussions with data scientists and business stakeholders to identify opportunities where machine learning can be applied to real-world business opportunities. Mentor and coach data science colleagues in developing their skills. Recommend visualizations of data that empower key business stakeholders to more easily interpret complex information and quickly identify key insights. Create presentations and communications, including effective explanation of complex analyses up to the leadership level. Mentor and influence the solving and correction of complex issues. 100% telecommute performed from anywhere in U.S.

Position requires 10% domestic travel.

Requirements: Must have a Bachelor’s degree in Data Science, Computer Science, Electronic Engineering, Mathematics, Statistics or a related field (willing to accept foreign education equivalent) and eight (8) years of experience leading and executing data analytics framework construction, machine learning model design, and production deployment for decision-making. Alternatively, employer will accept a Master’s degree in Data Science, Computer Science, Electronic Engineering, Mathematics, Statistics or a related field (willing to accept foreign education equivalent) and six (6) years of experience leading and executing data analytics framework construction, machine learning model design, and production deployment for decision-making. Position also requires experience in the following: Leading end-to-end data science projects: from problem and requirements definition to model/algorithm validation and deployment and reporting the results and findings to leadership team; Designing and developing predictive models, utilizing structured and unstructured data, statistics, causal analysis, machine learning, deep learning, natural language processing and large language modelling to develop applications that enable enhanced decision making by business users; Working with production deployment platforms to deploy statistical and machine learning models into production environment to make them available for daily use by business users; Automating processes and providing greater insights to support decision making using finance concepts; Communicating and engaging with senior leadership through meetings and presentations to understand business requirements and convey analyses in technical and non-technical terms.