Senior Data Scientist – Supply Chain Planning & Forecasting

Stanley Black & Decker, Inc. • Towson, MD

6d • Hybrid

About The Position

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.

Requirements

• 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 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement in addition to programs & benefits in support of your well-being.
• Discounts on Stanley Black & Decker tools and other partner programs.
• Competitive salary and a comprehensive benefits plan that includes medical, dental, life, vision, wellness program, disability, retirement benefits, Employee Stock Purchase Plan, Paid Time Off, including paid vacation, holidays & personal days, and tuition reimbursement.
• Discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior