Job Information
Robert Half Data Scientist with Energy Trading Experience in Houston, Texas
Description We are offering an exciting opportunity for a Data Scientist in Houston, Texas. This role primarily involves developing ML, AI and LLM models and applications, working with energy and financial data, and utilizing statistical modeling. You will be part of a dynamic team in the telecom industry, focusing on creating innovative solutions to complex problems.
Responsibilities:
• Develop enterprise-level ML, AI and LLM models and applications using cloud-based micro services such as AWS Lambda, S3, ECR, Sagemaker, etc.
• Work with energy and financial data, such as energy prices, supply and demand data, and economic indicators.
• Utilize knowledge of energy commodities trading, especially with North American Gas and Power Markets.
• Apply extensive experience with statistical modeling, machine learning algorithms (e.g., regression, classification, clustering), deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), and NLP techniques (e.g., transformers, LSTM).
• Use programming languages such as Python, with experience in using libraries like scikit-learn, pandas, NumPy, SciPy, Prophet and NLP libraries (e.g., Hugging Face Transformers, spaCy)
• Apply advanced knowledge of Generalized Linear and Non-Linear Models, Time Series Analysis, Random Forest, Gradient Boosted Machines, Neural Networks.
• Demonstrate strong SQL proficiency and understanding of database technologies, such as AWS RDS and Snowflake/databricks.
• Utilize data visualization tools (e.g., Tableau) to effectively communicate insights.
• Exhibit solid understanding of statistical concepts and hypothesis testing.
• Experience working with large-scale datasets, databases, and data processing tools (e.g., SQL, Spark). Requirements • Proficiency in Apache Spark, Database, and Data Science is essential for this role.
• Demonstrable experience with EO/IR systems is required.
• Knowledge and experience in working with HDFS is necessary.
• The candidate must have a strong background in Algorithm Implementation.
• Experience in Analytics is required for this role.
• Familiarity with Apache Hadoop is necessary.
• The candidate must have experience working with AWS Technologies.
• Proficiency in Cluster Analysis is required.
• Experience in ETRM is a plus for this role.
• The candidate must have the ability to work independently and as part of a team.
• Excellent communication and presentation skills are required.
• Problem-solving skills and the ability to handle multiple tasks efficiently is essential.
• The candidate must have a strong work ethic and a commitment to producing quality work.
• A Master's degree or Ph.D. in a related field is preferred.
• The candidate must have a strong understanding of statistical analysis and predictive modeling.
• Familiarity with machine learning algorithms and their implementation is necessary.
• Proficiency in programming languages such as Python or R is required. Technology Doesn't Change the World, People Do.®
Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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