Vacancy expired!
TITLE: Data Scientist
Location: Houston, TX Compensation Range : $90-100/hrThe role This is a great opportunity to join one of the largest integrated energy and commodity trading companies in the world. We are looking for a hands-on Data Scientist with experience in the energy markets of North America. You will work on building machine-learning models, data visualizations, and other tools for the trading desks. Key responsibilities- Responsible for development and operations of statistical models and tools utilized by trading teams
- Act as in-house subject matter expert for statistical and machine learning related problems.
- Deliver technical solutions to evolve our trading platforms and solve business problems. This involves requirements gathering, identifying priorities, planning tasks and on-time delivery of solutions.
- Work with our internal staff and 3rd party IT consulting teams situated across the geographical locations to ensure solutions meets requirements and delivery projects on time.
- Lead operational excellence evolution: monitoring, alerting, predictive operations.
- BS/MS in Engineering/Statistics/Computer Science/Economics or a related field
- Experience working with energy and financial data, such as energy prices, supply and demand data, and economic indicators.
- Knowledge of energy commodities, especially with North American Gas and Power Markets is a plus
- 3-5+ years' experience developing enterprise level models and applications with cloud-based micro services such as AWS Lambda, S3, ECR, Sagemaker, etc.
- Strong SQL proficiency and understanding of database technologies, such as AWS RDS and Snowflake
- Strong proficiency in Python, with knowledge of common Client and statistical packages such as Scikit-Learn, SciPy, Prophet, etc
- Advanced knowledge of Generalized Linear and Non-Linear Models, Time Series Analysis, Random Forest, Gradient Boosted Machines, Neural Networks
Vacancy expired!