Lead Engineer Data Science

As our Lead Engineer, Data Science, you’ll play a key role in transforming product, sensor and operational data into meaningful insights that support innovation, energy efficiency and data-driven decision-making across Danfoss Climate Solutions.

Working closely with business teams, engineers and data platform specialists, you’ll combine strong analytical capabilities with engineering and domain knowledge to identify high-value opportunities, shape AI and analytics use cases and help build a robust, AI-ready data foundation for future intelligent solutions.

What You’ll Be Doing

• Translate complex business and engineering challenges into analytical questions, data-driven models and actionable insights
• Analyze product, sensor, device and operational data to identify patterns, trends and opportunities for performance and energy optimization
• Apply engineering and domain knowledge to shape high-value data science and AI use cases, including feature definition, hypothesis development and validation strategies
• Collaborate with data engineers and platform teams to improve data quality, accessibility and usability across analytics and data products
• Contribute to semantic models and knowledge graph capabilities that capture relationships between sensors, devices, assets and their operational context
• Communicate insights and recommendations clearly to technical and business stakeholders, helping turn analytical findings into practical business actions, 1. We promote from within and support your learning with mentoring, training, and access to global opportunities. 2. You’ll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us. 3. We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are. 4. You’ll receive benefits like 13th salary, annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they’re worth asking about-we think they’re pretty great.

• Strong foundation in thermodynamics and physics, with the ability to apply first-principles reasoning to heating and cooling systems and processes
• Experience in data science, applied analytics or similar roles within a technical, industrial or engineering environment
• Strong analytical and problem-solving skills, with proficiency in Python and SQL and the ability to translate engineering insight into data-driven models
• Good understanding of modern data and ML environments, including cloud platforms and the machine learning lifecycle
• Strong communication and collaboration skills, with the ability to work effectively across engineering, data and business teams
• Experience with HVAC, refrigeration, heating/cooling, energy systems or industrial operational data is considered a strong advantage