At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter. Whether it’s providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world. Discover the many reasons the world’s most talented people are choosing to work at DuPont. Why Join Us | DuPont Careers (https://careers.dupont.com/us/en/whyjoinus) Overview The Shelter Solutions Data Science Program Specialist will be responsible for the successful integration of various data sources as well as modeling complex business problems and identifying business insights. Using statistical, algorithmic, data mining and visualization techniques your work with customers and our DuPont team members will further enhance our business intelligence. By translating disparate data sources in structured and unstructured data environments, you can generate insights and predictive analytics that support decision making – challenging the status quo across our global operations. You will work with an experienced and driven team to leverage our diverse data sets to produce and present meaningful dashboards and reports to leadership and cross-functional team members. Leveraging your program and project management skills, you can participate in and lead the entire process from ideation to proof-of-concept, to data ingestion production, and training including follow-up with business owners and customers to define enhancements. Key Responsibilities • Data Collection & Integration – ability to understand how data integration works and improve upon how DuPont works today (Data Lake Processes) o Acquire access to data sources o Leverage existing data pipelines and tables o Discover new data sources, catalog sources, and create a timing for new data source ingestion aligned with established roadmap including documentation of processes • Data Exploration & Visualization – Leverage Power BI Tool and Databricks specifically to create meaningful automated dashboards and improve solutions based on business feedback o Apply statistical analysis and visualization techniques to tell a story with data o Generate hypotheses and identify gaps in data sets o Resolve data gaps to improve insights and data modeling • Machine Learning & Analytics o Integrate domain/business knowledge into machine learning models o Apply various machine learning techniques o Test and evolve machine learning models • Program Management o Lead and manage all aspects of major programs and projects. o Develop, implement and monitor program strategies, policies and detailed plans, including establishing timeframes, budgets and specifications. o Identify and coordinate necessary program/project resources - Developing business cases, including cost-benefit analyses. Key Skills • Communication: Ability to work collaboratively with customers and various cross-functional team members (Finance, Digital & Customer Experience, IT Analytics teams, Sales and Marketing, Supply Chain, and Demand Planning, etc.). Ability to clearly convey complex and technical models and topics to multiple levels of management and cross-functional teams. • Project Management: Ability to manage multiple projects concurrently and achieve deadlines. Anticipates and interprets business needs to design report suites, dashboards and analytical models within existing platforms using built-in solutions to support colleague/leadership requests, reports and metrics and grow revenue and profitability. • Analytic Ability: Shows strong intellectual curiosity, attention to detail, and gets to the root cause of problems to recommend solutions. Displays drive and ambition to understand how data elements fit together including relationships between different types of data to support the evolution of our business. • Business Results Orientation: Seeks to understand business needs and gets results that have a clear, positive, and direct impact on business performance. Knowledge and capability to apply various technical and statistical techniques to boost project outcomes and deliver the data roadmap. • Decision Making: Strong critical thinking skills. Understands and balances the trade-offs between model accuracy vs. model interpretability vs. the need for model evolution. Required Qualifications • 4-year computer science, statistics, or a related bachelor’s degree (master’s preferred). • Minimum of 3 years working as a data scientist (1+ years with master’s degree) • Expertise in Databricks, Python, Dataflows, SQL, and Power-BI • Strong technical skills in data management and data analytics • Curious self-starter who can work independently to turn a vision into results • Proven skills in problem identification, pattern recognition, data collection and preparation, and independent problem solving. • Excellent verbal, written and interpersonal communication skills. Must be able to collaborate with users across the organization with varying skill levels. Join our Talent Community (http://careers.dupont.com/us/en/jointalentcommunity) to stay connected with us! We are excited to share that on May 22, 2024, DuPont announced plans to separate(1) into three industry-leading, independent publicly traded companies. This strategic move will create focused businesses with distinct investment profiles. We believe the proposed separations will create opportunities for all three future companies to better serve their customers and unlock long-term value for stakeholders. This process is expected to take 18-24 months from the date of announcement to complete. We are committed to supporting our employees throughout this transition and ensuring a smooth and successful separation process. We look forward to welcoming new talent who are interested in contributing to the continued success and growth of our evolving organization. _(1)The separation transactions are subject to satisfaction of customary conditions, including final approval by DuPont's Board of Directors, receipt of tax opinion from counsel, the filing and effectiveness of Form 10 registration statements with the U.S. Securities and Exchange Commission, applicable regulatory approvals, and satisfactory completion of financing. _ _For further discussion of risks, uncertainties and assumptions that could impact the achievement, expected timing and intended benefits of the separation transactions, see DuPont’s_ _announcement (http://www.dupont.com/news/dupont-announces-plan-to-separate-into-three-independent-publicly-traded-companies.html) ._ DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information (http://www.dupont.com/global-links/accessibility.html) .