Houston, TX

A global, merchant energy trading firm in Houston seeks a data scientist to support its natural gas & power trading teams. The position will create sophisticated statistical models and algorithms that produce predictive signals that drive trading strategy and commercial decisions.  Key responsibilities include:

• Extracting, analyzing, and managing data from complex and disparate sources, including data lake.
• Applying rigorous machine learning, statistical analysis, regression, and optimization techniques to data to identify signals and predictive patterns.
• Generating hypotheses and analyzing data to test and interpret results and to evaluate and test trading strategies.
• Developing, testing, and implementing new tools to be used by the trading team.
• Working with the Technology team to communicate analytical and modeling results in a dashboard format to Traders; and
• Researching and evaluating new technologies/tools associated with Big Data.

Educational and professional requirements include:

• Bachelor’s degree (an advanced degree is a plus) in an applied quantitative field (mathematics, physics, computer science, engineering, or statistics).
• Excellent Python programming skills and advanced knowledge of SQL.
• A strong background in linear regression, probability, scenario modeling, statistics, and time series analysis.
• Ability to write and optimize database queries to extract and analyze large data sets.
• Approximately 1-5 years of professional experience in Big Data / Data Science / Data Analytics analysis and predictive modeling in the energy industry.
• Industry experience in energy trading, upstream/midstream oil & natural gas, or conventional/renewable power. A variety of analytic experiences will be considered.
• A commercial mindset and desire to work within a fast-paced end trading floor environment.
• Strong communication skills.

Other experience and technical skills (desired, a plus, and not required):

• Experience on an energy trading floor is a plus.
• Experience and knowledge of the Permian gas region is a plus.
• Experience with machine learning for prediction, classification, and anomaly detection is a plus.
• Experience with natural language processing (NLP) for analyzing unstructured data is a plus.
• Linear programming and non-linear optimization are a plus.
• Experience with vehicle routing is a plus.

Submit resumes to chynes@salthillgroup.com.