DENSO Europe

Data Scientist

• Under moderate supervision, the Data Scientist applies advanced statistical, machine learning, and artificial intelligence techniques to solve complex business problems across the enterprise.
• This role will work across business functions such as Manufacturing, Supply Chain, Finance, Engineering, etc. to deliver scalable analytics, predictive models, and AI solutions that drive operational efficiency, quality, and business performance.
• The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and operationalize models from concept through production.
• Design, develop, and maintain statistical, machine learning, and AI models that extract actionable business and technical insights from large, complex datasets.
• Build and support scalable analytics and predictive solutions using techniques ranging from data aggregation and feature engineering to advanced modeling and data mining.
• Collaborate with business and engineering stakeholders to conduct needs assessments and requirements gathering, translating business questions into analytical solutions.
• Perform advanced data analysis, data preparation, and model validation; translate insights into clear, actionable recommendations for management and internal customers.
• Deploy and operationalize models using MLOps best practices, including versioning, monitoring, performance tracking, and continuous improvement.
• Prepare and deliver executive-ready presentations and reports, explaining statistical concepts and analytical outcomes to non-technical and senior audiences.
• Contribute to and help establish analytics and data science standards, methodologies, and best practices for process improvement initiatives.
• Support training and enablement of associates on new analytics tools, systems, and processes.
• Apply statistical and analytical expertise to advance regional and enterprise-wide digital transformation initiatives.
• Stay current with industry trends and emerging technologies in data analytics, machine learning, and AI through ongoing learning, conferences, and training.
• Perform other duties as assigned.

Data Scientist II