Senior Data Scientist – Supply Chain Planning & Forecasting

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

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

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 (H1B, 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 PowerBI 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