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Data Scientist - Energy

Job in The Woodlands, Montgomery County, Texas, USA
Listing for: Linde Corporate
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 85000 - 110000 USD Yearly USD 85000.00 110000.00 YEAR
Job Description & How to Apply Below

Linde Inc.

Data Scientist - Energy

The Woodlands, TX, United States | req
29936

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 plants
What makes you great
  • 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
What we offer you!

Linde offers competitive compensation and an outstanding benefits package. Enjoy access to 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.

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.

* The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Therefore employees assigned may be required to perform additional job tasks required by the manager.

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