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DESRI, based in Houston, Texas, is seeking a highly motivated Associate or Manager for Data Science. This role focuses on advancing the company’s data science strategy and analytics capabilities across its renewable energy portfolio, combining technical expertise with strategic leadership.
The ideal candidate will possess a solid background in data science with excellent communication skills and an entrepreneurial mindset. Expected annual base salary ranges from $150,000 to $175,000, with comprehensive benefits including bonuses and matching 401(k).
DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 13 gigawatts of contracted capacity across a portfolio of over 85 renewable energy projects in 24 states. At DESRI, our culture is grounded in rigorous analytics and thoughtful risk-taking, with a strong emphasis on creativity, intellectual curiosity, and continuous improvement.
We operate with lean teams that prioritize efficiency and minimize unnecessary bureaucracy, enabling individuals to take ownership and move quickly. We value open, constructive dialogue and believe it leads to better outcomes. Above all, we are driven to go the extra mile and support one another, fostering a collaborative environment built on accountability, integrity, and care.
DESRI is seeking a talented and highly motivated individual to join its team as an Associate or Manager, Data Science (title commensurate with experience). This individual will play a key role in the company’s enterprise data science strategy and help drive data-informed decision-making across the organization. This individual will partner closely with teams across the organization to build scalable analytics capabilities and deploy advanced modeling solutions that optimize DESRI’s growing renewable energy portfolio. This leader will oversee data science initiatives spanning forecasting, operational analytics, predictive maintenance, portfolio optimization, market intelligence, and business performance reporting. The ideal candidate combines strong technical expertise with strategic leadership skills and is excited about applying advanced analytics and machine learning to complex challenges in the renewable energy industry.