Senior Data Scientist - Supply Chain Planning & Forecasting
Job
NLX
Baltimore, MD (In Person)
Full-Time
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Job Description
Senior Data Scientist
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 Senior Data Scientist
- Supply Chain Planning & Forecasting
- HybridTowson, MD, United StatesCome build something that matters.
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.
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 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
- 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 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.
- 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.
- Understands the realities of operational planning, not just data science theory
- Has worked directly with planners and business stakeholders
- Can identify practical opportunities to modernize planning capabilities
- Brings a balance of business process knowledge and technical depth
- Has experience navigating both legacy ERP planning environments and modern digital planning platforms
- Understands how to apply analytics and AI/ML solutions in ways that improve real business outcomes
- Is comfortable operating in evolving and transforming planning organizations.
The Details:
You'll receive a competitive salary and a great benefits plan, including- 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.
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 gl... Visit the Employer site for more detailsSimilar jobs in Baltimore, MD
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