Responsibilities

• Lead the Development of Data-Driven Solutions
• Analyze wind turbine performance using advanced data science and machine learning techniques to enhance operational efficiency and reduce downtime
• Design, develop, and deploy prognostic and diagnostic algorithms to support predictive maintenance and improve turbine performance
• Develop and Implement Verification Tools
• Lead the creation of innovative verification tools and methodologies for field validation of software features
• Collaborate with the software development teams to ensure accuracy and functionality of new software implementations
• Drive Strategic Decision-Making
• Create and deliver data-driven decision support tools and actionable insights for leadership to guide key business and operational strategies
• Lead the analysis and interpretation of complex datasets to uncover trends and inform strategic initiatives
• Provide Analytics Support for High-Profile Issues
• Serve as the primary point of contact for providing analytics support to cross-functional teams during high-profile or time-sensitive projects
• Lead and Mentor the Data Science Team
• Oversee and mentor a team of data scientists, ensuring alignment with the organization's goals and fostering continuous learning and development within the team
• Advocate for and implement best practices in data analysis, machine learning, and model development
• Contribute to Agile Software Projects
• Work closely with agile software teams to contribute to backlog prioritization and the technical execution of software projects, ensuring that data science initiatives align with business objectives
   

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. A Ph.D. is a plus
• Minimum of 6+ years of experience in data science, machine learning, or a related field, with a proven track record of delivering impactful results
• Expertise in programming languages such as Python, R, or MATLAB, with experience in machine learning frameworks and statistical analysis software (e.g., SQL, SAS)
• Proven experience in developing and deploying machine learning models and algorithms, preferably in the renewable energy or wind turbine sector
• Strong knowledge of data visualization tools (e.g., Grafana, Power BI) and experience presenting insights to leadership and non-technical stakeholders
• Experience leading or mentoring data science teams, with strong leadership and project management skills
• Familiarity with agile development methodologies and experience working in cross-functional teams
• Excellent communication skills, with the ability to explain complex technical information to diverse audiences

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