NextEra Energy
Manager of Data Science - Business Management Transformation
NextEra Energy, North Palm Beach, Florida, United States, 33408
Manager Of Data Science - Business Management Transformation
NextEra Energy Resources is one of America's largest wholesale generators of electricity, leveraging all forms of energy across renewables, storage and nuclear. We offer customized energy solutions that drive economic growth, protect the environment, support communities, and help customers meet their energy needs. Ready to make a lasting impact? Join our innovative, world-class team today! NextEra is seeking a Manager of Data Science to join the newly formed Transformation Office within the Business Management organization. Business Management owns the P&L for the world's largest portfolio of renewable assets and is responsible for ensuring these assets meet financial commitments. This includes: Acting as the CEO of the assets Driving optimal commercial and regulatory outcomes Maximizing revenue and optimizing operational performance This leader will spearhead advanced modeling, simulation, and analytics initiatives to enable smarter investment, maintenance, and operational decisions, working closely with finance and operations to build scalable predictive and optimization models that drive enterprise-wide transformation. Key responsibilities include: Develop and deploy advanced forecasting models, simulations (e.g., Monte Carlo), and optimization algorithms for capital and operational planning. Lead and develop data-driven initiatives across predictive maintenance, asset performance, and total cost of ownership modeling. Partner with finance and transformation teams to translate models into business-relevant insights and strategies. Communicate technical insights clearly to non-technical stakeholders and participate in cross-functional decision-making. Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Engineering, Computer Science, or a related quantitative field. 5+ years of experience building statistical models, simulations, or optimization tools in a business setting. Proficiency in Python, R, or Julia, and experience with libraries such as scikit-learn, or PyMC. Experience with Monte Carlo simulations, time-series data, and operational optimization. Experience working with large datasets and cloud-based analytics environments (e.g., AWS, Azure, Databricks). Strong communication and stakeholder engagement skills; able to align technical work with business objectives.
NextEra Energy Resources is one of America's largest wholesale generators of electricity, leveraging all forms of energy across renewables, storage and nuclear. We offer customized energy solutions that drive economic growth, protect the environment, support communities, and help customers meet their energy needs. Ready to make a lasting impact? Join our innovative, world-class team today! NextEra is seeking a Manager of Data Science to join the newly formed Transformation Office within the Business Management organization. Business Management owns the P&L for the world's largest portfolio of renewable assets and is responsible for ensuring these assets meet financial commitments. This includes: Acting as the CEO of the assets Driving optimal commercial and regulatory outcomes Maximizing revenue and optimizing operational performance This leader will spearhead advanced modeling, simulation, and analytics initiatives to enable smarter investment, maintenance, and operational decisions, working closely with finance and operations to build scalable predictive and optimization models that drive enterprise-wide transformation. Key responsibilities include: Develop and deploy advanced forecasting models, simulations (e.g., Monte Carlo), and optimization algorithms for capital and operational planning. Lead and develop data-driven initiatives across predictive maintenance, asset performance, and total cost of ownership modeling. Partner with finance and transformation teams to translate models into business-relevant insights and strategies. Communicate technical insights clearly to non-technical stakeholders and participate in cross-functional decision-making. Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Engineering, Computer Science, or a related quantitative field. 5+ years of experience building statistical models, simulations, or optimization tools in a business setting. Proficiency in Python, R, or Julia, and experience with libraries such as scikit-learn, or PyMC. Experience with Monte Carlo simulations, time-series data, and operational optimization. Experience working with large datasets and cloud-based analytics environments (e.g., AWS, Azure, Databricks). Strong communication and stakeholder engagement skills; able to align technical work with business objectives.