Data Scientist

Tenaska is one of the largest privately held companies in the United States, an organization that's adept in natural gas and power marketing, power management, development and acquisition of generation assets, operation of power plants and more.

Position Summary:

The Strategic Technology Data Scientist will develop, improve and maintain analysis, optimization and prediction tools for the business.

Essential Job Functions:

• Analyze current and future business and market opportunities and develop innovative tools to capture market value along with rest of Strategic Technology team.

• Improve automation of data acquisition, model training, and model testing processes in AWS and other cloud providers, and on-premise.
• Develop model performance benchmarking and iterative improvement tools.
• Acquire domain knowledge in power markets to effectively develop creative solutions using state-of-the-art techniques and tools.

• Apply theoretical and practical knowledge of statistical analysis and machine learning techniques and tools to solve business problems.
• Other projects as assigned.
  
  

Education/Experience/Skills:

• Graduate degree strongly preferred. Degrees in physics, mathematics, computer science or economics or other sciences preferred, with a strong focus on general mathematics and statistics, unless candidate can demonstrate equivalent professional experience and skills.

• Strong background in data mining and statistical analysis.
• Experience in Python and C, or proven ability in other programming languages such as R, Java, or C# as applied to Data Science production work streams. Willingness and proven ability to learn new technologies quickly as needed to solve problems.
• Experience working with databases of many kinds, from RDBMS to NoSQL and time series databases.
• Experience with data preparation, data cleansing, and workflow/ETL tools like Knime, Rapid Miner, or Alteryx.
• Strong understanding and experience in optimization theory, along with related algorithms and tools.
• Experience with machine learning data preparation concepts (cross validation, folding, boosting, feature engineering) with clear understanding of time series related concerns.
• Experience with building, evaluating, and production implementation of Machine learning models for classification and regression problems using multiple approaches such as RNNs, CNNs, and GBDTs as well as other deep learning and ensemble techniques.
• Experience with machine learning algorithms and frameworks, such as Tensorflow, PyTorch, XGBoost, LightGBM and API wrappers like Keras. Specific experience in the time series problem domain is particularly desired.
• Ability to quickly learn necessary skills and information to be effective in position where necessary.
• Curious, inquisitive, creative, exploration-driven, and self-motivated with a passion for applied Machine Learning and optimization.
• Experience in power markets or in other commodity trading and/or operations domains is valuable, but not required.

Benefits:

At Tenaska we care about the wellbeing of our employees and their families. That's why we offer our employees a comprehensive benefit package. Benefits included below:

• Health, dental, vison, disability, and life insurance
• Excellent 401(k) plan
• Incentive-based, competitive salary packages
• Health/dependent care flex accounts
• Tuition assistance
• Long-term disability coverage
• Adoption benefits
• Employee assistance program
• Paid vacations and holidays
• Generous sick leave
• Charitable giving program
• Paid maternity/paternity leave
• Wellness programs

Tenaska is an equal opportunity employer.