Senior Data Scientist - Demand Forecasting & AI (Hybrid)

Stanley Black & Decker, Inc.; Towson (MD); Hybrid; USD 78,000 - 125,000; Full time

Benefits offered by this job

Medical, dental, life, vision benefits

401(k) plan

Employee Stock Purchase Plan

Tuition reimbursement

Tool discounts

Job summary

Stanley Black & Decker, Inc. is seeking a Senior Data Scientist to configure and test statistical forecasting in Kinaxis Maestro and drive AI/ML-enabled planning across durable goods manufacturing.

The role focuses on transforming legacy planning methods, building forecasting models in Python and R, and collaborating with global supply chain teams to improve forecast accuracy and planner productivity.

Qualifications

• 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 with durable goods, industrial products, or manufacturing industries.
• Hands-on experience with Snowflake, SQL Server and building visualizations using DAX in PowerBI.

Responsibilities

• Analyze and improve current-state demand planning and statistical forecasting processes.
• Configure and test statistical forecasting in Kinaxis Maestro.
• Support transformation of legacy planning methodologies into scalable, AI/ML-enabled capabilities.
• Configure, optimize, and maintain forecasting models and profiles within planning systems.
• Develop and enhance forecasting models using Python and R.
• Translate business planning requirements into data science and AI/ML solutions to improve forecast accuracy and planner productivity.
• Partner with planners and business users to incorporate quantitative and qualitative forecasting inputs.
• 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.
• Contribute to long-term AI and advanced analytics roadmap for supply chain planning.

Skills

Snowflake

SQL Server

Power BI

Python

R

Forecasting

Demand planning

Education

Master's degree in Computer Science, Data Science, Supply Chain, Operations Research, Industrial Engineering, Analytics, or related field

Tools

Kinaxis Maestro

Job description

Stanley Black & Decker, Inc. is seeking a Senior Data Scientist to configure and test statistical forecasting in Kinaxis Maestro and drive AI/ML-enabled planning across durable goods manufacturing.

The role focuses on transforming legacy planning methods, building forecasting models in Python and R, and collaborating with global supply chain teams to improve forecast accuracy and planner productivity.