Senior Data Analyst
Stanley Black & Decker
- Location
- Towson MD United States
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 29 approvals (FY2023)
- Posted
- 1d ago
Skills
About this role
Senior Data Scientist – Hybrid Location: Charlotte, NC or Towson, MD Come make the world and accelerate your success. 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 more than 50,000 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 with the Ability to configure & test statistical forecasting in Kinaxis Maestro and with deep functional expertise in demand planning, forecasting, and supply chain transformation within durable goods and industrial manufacturing environments. The ideal candidate can translate business requirements into scalable forecasting, analytics, and AI/ML-enabled planning solutions. You’ll get to: Analyze and improve current-state demand planning and statistical forecasting processes. Ability to configure & test statistical forecasting in Kinaxis Maestro. 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. 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. 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: Hands-on experience with Snowflake, SQL Server and building visualizations using DAX in PowerBI is required. 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. The Details: You’ll receive a competitive salary and a great benefits plan. And More: We want our company to be a place you’ll want to be – and stay. Being part of our team means you’ll get to: Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths. Learn: Have access to a wealth of learning resources, including our digital learning portal. Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for a wide range of perspectives and experiences. Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back, and