Manager - Data Science

We are seeking an experienced and results-oriented Data Science Manager to lead our data science initiatives within the industrial equipment and machinery sector. The ideal candidate will have a strong background in applying advanced analytics, machine learning, and statistical modeling to solve complex business problems and drive innovation. This role involves managing a team of data scientists, collaborating with cross-functional teams, and developing data-driven strategies to enhance product performance, optimize manufacturing processes, and improve customer outcomes.

Key Responsibilities:

• Lead and mentor a team of data scientists, fostering a collaborative and high-performing environment.
• Define and execute the data science roadmap, aligning with business objectives and industry trends in industrial equipment.
• Develop and implement advanced machine learning models for predictive maintenance, anomaly detection, quality control, and performance optimization of industrial machinery.
• Leverage statistical analysis and data mining techniques to extract actionable insights from large datasets.
• Collaborate with engineering, product management, and operations teams to identify data-driven opportunities and translate business needs into data science solutions.
• Communicate complex findings and recommendations to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Stay abreast of the latest advancements in data science, AI, and machine learning, and evaluate their applicability to the industrial equipment domain.
• Ensure the quality, integrity, and scalability of data science solutions.