Data Scientist - Energy

Job title: Data Scientist - Energy

About the Role The Data Scientist - Energy will develop and maintain digital tools, models, and KPIs to enhance energy management, market visibility, and operational decision-making. The role partners with energy managers, operations teams, and business stakeholders to translate business needs into practical digital solutions and analytics.

What You'll Do

• Develop and maintain digital tools, models, and KPIs to enhance energy management, market visibility, and operational decision-making.
• Partner with energy managers, operations teams, and business stakeholders to gather requirements, prioritize opportunities, and translate business needs into practical digital solutions.
• Lead the creation of analytics, forecasting, optimization, and decision support tools to improve energy planning, scheduling, and cost performance.
• Build scalable data and analytics applications and dashboards integrating market, operational, and commercial data to deliver timely insights for regional teams.
• Evaluate new technologies, market data sources, and analytical approaches including artificial intelligence and machine learning to enhance energy management capabilities and business value.

What We're Looking For

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, Operations Research, or a related field with specialization in data science or analytics from an accredited institution or equivalent.
• Familiarity with energy trading and risk management tools, including market analysis, portfolio optimization, scheduling, settlements, and risk assessment applications.
• Demonstrated experience in formulating and solving optimization, machine learning, forecasting, and statistical modeling problems such as regression, segmentation, survival analysis, principal component analysis, or neural networks.
• Strong programming skills in Python and/or R, with proficiency in SQL and working knowledge of databases, stored procedures, and data quality or extract-transform-load concepts.
• Skilled in data visualization and dashboard tools such as Tableau, Power BI, etc.
• Experience working with large language models, generative artificial intelligence technologies, and deploying machine learning or AI solutions into production.
• Excellent communication and data storytelling skills to clearly convey complex solutions to diverse stakeholders and leadership.
• Thrive in collaborative environments and bring your unique perspective to a team that values diversity, equity, and inclusion.
• Willingness to travel domestically or internationally as required.
• Experience designing and optimizing databases, performance tuning, and building scalable business intelligence solutions.

Compensation & Benefits

• Competitive compensation and an outstanding benefits package including health, dental, disability, and life insurance; paid holidays and vacation; 401(k) matching, pension benefits, an employee discount program, and opportunities for educational and professional growth.
• Additional compensation may vary depending on the position and organizational level.