Senior Data Scientist – Supply Chain Planning & Forecasting – Hybrid. Towson, MD, United States Come build something that matters. It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join our top-notch team of approximately 43,500 diverse and high-performing professionals globally who are making their mark on some of the world’s most beloved brands, including DEWALT®, BLACK DECKER®, CRAFTSMAN®, STANLEY®, CUB CADET®, and HUSTLER®. The Job: We are seeking a Senior Data Scientist – Supply Chain Planning & Forecasting with deep functional expertise in demand planning, forecasting, and supply chain transformation within durable goods and industrial global manufacturing environments. This role is intended for a professional who combines strong analytical and technical capabilities with extensive real-world planning process knowledge. The ideal candidate understands both traditional and modern supply chain planning methodologies and can translate business requirements into scalable forecasting, analytics, and AI/ ML-enabled planning solutions. The individual will play a key role in helping evolve current forecasting and planning capabilities into more advanced, intelligent, and business-driven planning processes. This position requires someone who has worked closely with planners, supply chain leadership, and business stakeholders and understands the operational realities of planning organizations. As a Senior Data Scientist – Supply Chain Planning & Forecasting, you’ll be part of our Global Supply Chain Team as a hybrid employee. You’ll get to: Partner with Supply Chain Business Leaders, Demand Planning teams, and Digital Transformation stakeholders to improve forecasting and planning capabilities. Analyze and improve current-state demand planning and statistical forecasting processes. Support transformation of legacy planning methodologies into scalable, future-ready AI/ ML-enabled planning capabilities. Configure, optimize, and maintain statistical forecasting models and forecasting profiles within planning systems. Develop and enhance forecasting models using Python and R, including statistical and machine learning approaches. Translate business planning requirements into data science and AI/ ML solutions that improve forecast accuracy, responsiveness, and planner productivity. Recommend appropriate forecasting models and planning approaches based on time series behavior, demand patterns, and business context. Partner with planners and business users to incorporate both quantitative and qualitative forecasting inputs into planning processes. Ability to configure & test statistical forecasting in Kinaxis Maestro. Collaborate with planning organizations, regional supply chain teams, and Centers of Excellence (CoE). Support forecasting governance, forecast accuracy measurement, and continuous improvement initiatives. Partner cross-functionally with Supply Chain, IT, Data Engineering, and Transformation teams to operationalize forecasting improvements. Contribute to long-term AI and advanced analytics roadmap development for supply chain planning. This role is not eligible for visa sponsorship (H 1 B, OPT/ CPT, TN etc). The Person: You love to learn and grow and be acknowledged for your valuable contributions. You’re not intimidated by innovation. Wouldn’t it be great if you could do your job and do a world of good? In fact, you embrace it. You also have: Master’s degree required in Computer Science, Data Science, Supply Chain, Operations Research, Industrial Engineering, Analytics, or related field. Minimum of 5 years of experience in Supply Chain Planning, Demand Forecasting, Supply Chain Analytics, or Data Science within manufacturing or industrial environments. Experience within durable goods, industrial products, or manufacturing industries is required. Strong functional expertise in demand planning and forecasting processes across both legacy and modern planning platforms. Hands-on experience with SAP APO Demand Planning (DP), including:Univariate forecasting profile setup. Statistical forecasting model configuration. Forecast parameter tuning and optimization. Forecast model selection based on time series behavior and business context. Experience with Kinaxis Maestro & SAP ECC is required. Hands-on experience with Snowflake, SQL Server and building visualizations using DAX in Power. BI is required. Strong understanding of statistical forecasting concepts and methodologies, including:Time series analysis. Trend and seasonality interpretation. Model fit and forecast accuracy measurement. Forecast consumption and planning workflows. Exposure to both quantitative and qualitative forecasting methodologies and the ability to balance statistical outputs with business judgment and market intelligence. Hands-on experience developing and enhancing forecasting solutions using Python and R, including statistical and machine learning forecasting models. Ability to recommend appropriate forecasting models and planning approaches based on demand patterns, business drivers, and operational considerations. Strong business acumen with the ability to translate supply chain planning requirements into scalable AI/ ML and advanced analytics solutions. Experience working within planning organizations or Supply Chain Centers of Excellence (CoE) is required. Experience supporting planning transformation initiatives and modernization of forecasting capabilities is required. Strong communication, stakeholder management, and cross-functional collaboration skills. Candidates must be legally authorized to work in the United States without sponsorship. Domestic travel is required 10% of the time. Preferred Qualifications. Experience driving AI/ ML initiatives within Supply Chain Planning. Exposure to advanced forecasting methods, probabilistic forecasting, or machine learning applications in planning. Experience driving business process transformation initiatives. Experience with integrated business planning and digital supply chain transformation. Experience influencing planning process redesign and change management efforts. Experience supporting global or regional planning organizations. Exposure to forecasting automation and AI-assisted planning capabilities. What We’re Looking For. This role is ideal for someone who:Understands the realities of operational planning, not just data science theory. Has worked directly with planners and business stakeholders. Can identify practical opportunities to modernize planning capabilities. Brings a balance of business process knowledge and technical depth. Has experience navigating both legacy ERP planning environments and modern digital planning platforms. Understands how to apply analytics and AI/ ML solutions in ways that improve real business outcomes. Is comfortable operating in evolving and transforming planning organizations. The Details: You’ll receive a competitive salary and a great benefits plan, including: