Senior Data Scientist – Supply Chain Planning & Forecasting

Stanley Black & Decker • Towson, MD

5d • 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.
• Career paths aren’t linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.
• Our lifelong learning philosophy means you’ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).
• We pride ourselves on being an awesome place to work. We respect and embrace differences because that’s how the best work gets done. You’ll find we like to have fun here, too.
• You’ll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.

What This Job Offers

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