Data Scientist - Energy

What you will enjoy doing

• Describe the tasks and responsibilities in a crisp and clear way
• You will develop and maintain digital tools, models, and key performance indicators that 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
• You are expected to 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
• You will support continuous improvement by evaluating new technologies, market data sources, and analytical approaches including artificial intelligence and machine learning to enhance energy management capabilities and business value

• You hold a 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
• You have 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
• Possess 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.
• You have experience working with large language models, generative artificial intelligence technologies, and deploying machine learning or AI solutions into production
• Exhibit 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
• You have the willingness to travel domestically or internationally as required
• Experience designing and optimizing databases, performance tuning, and building scalable business intelligence solutions

At Linde, the sky is not the limit. We offer 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, pregnancy, sexual orientation, gender identity, or expression, or any other reason prohibited by applicable law.