Data Scientist, Demand Planning

As a Data Scientist - Demand Planning Analytics , you will help shape smarter supply chain decisions by transforming data into actionable insights that improve forecast accuracy, identify emerging demand shifts, and strengthen customer delivery performance. Your work will directly support informed planning and decision-making across a rapidly growing business. You will develop analytics, forecasting models, and demand insights that help the organization anticipate risk earlier, reduce uncertainty, and respond more effectively to changing customer needs. By improving visibility into order patterns and demand signals, you will help teams make confident decisions that balance customer expectations and operational realities. Success in this role requires strong analytical thinking, collaboration, and the ability to translate complex findings into meaningful business actions. You will work across functions, lead through influence, embrace continuous improvement, and demonstrate the Danfoss behaviors while fostering an inclusive environment where diverse perspectives contribute to better outcomes.

What You’ll Be Doing

• Develop forecasting models, analytical tools, and demand insights that improve forecast accuracy, reduce bias, and support better planning decisions.
• Analyze customer order patterns, demand changes, and market signals to identify risks, opportunities, and emerging trends before they impact operations.
• Create dashboards, alerts, and scenario-based analytics that enable faster, data-driven decision-making across demand planning and supply chain teams.
• Collaborate with planning, operations, and data teams to translate analytical findings into practical actions that improve business performance.
• Continuously improve model performance, data quality, and reporting processes to increase reliability, efficiency, and stakeholder confidence in analytics.

• Experience developing forecasting, statistical, machine learning, or business analytics solutions that drive operational decision-making.
• Strong skills in data analysis, data modeling, visualization, and communicating complex technical concepts to non-technical audiences.
• Proficiency with analytics and data tools such as Python, SQL, Power BI, or similar platforms used to generate business insights.
• Understanding of demand planning, forecasting, supply chain operations, or related business processes where analytics support planning decisions.
• Demonstrated ability to influence across teams, solve problems collaboratively, and embody the Danfoss behaviors through inclusive leadership and continuous improvement.

3.73.7 out of 5 stars Maumee, OH Hybrid work $95,000 - $149,000 a year - Full-time, * The opportunity to influence strategic supply chain decisions through advanced analytics and data-driven insights.

• Exposure to cross-functional and global stakeholders, enabling you to expand both your business and technical expertise.

• A collaborative and inclusive environment where innovation, curiosity, and diverse perspectives are encouraged.

• Opportunities for professional development through complex analytical challenges, continuous learning, and global career growth.

• The chance to help build more resilient, responsive, and customer-focused supply chain capabilities through data and technology.

• Competitive annual base salary ranging from USD 95,000 to USD 149,000 , based on experience, qualifications, and overall fit for the role.