• Data Scientist

    Robert Half Technology (Houston, TX)


    Description

    Our energy trading company is seeking a Data Scientist to join our advanced analytics team. In this role, you will leverage large datasets, leading edge statistical models, and machine learning to build predictive analytics solutions that drive trading strategies, optimize operations, and enhance decision-making. The ideal candidate combines strong data science expertise with commercial awareness of energy markets.

    Key Responsibilities:

    + Develop and deploy predictive models to forecast pricing, demand, and market trends in energy trading.

    + Collaborate with traders, analysts, and IT to identify opportunities for advanced analytics that directly impact trading performance and risk management.

    + Gather, clean, and analyze large and complex datasets from multiple sources (market data, weather, IoT, etc.).

    + Apply machine learning, deep learning, and time-series analysis to solve business problems and generate actionable insights.

    + Communicate findings and recommendations to both technical and non-technical stakeholders through visualizations, reports, and presentations.

    + Monitor and evaluate the performance of deployed models, continuously improving methodologies and tools.

    + Stay up-to-date with latest developments in data science, energy markets, and trading technologies.

    Requirements

    Qualifications:

    + Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.

    + Proven experience developing predictive models using Python/R, machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), and cloud platforms.

    + Strong understanding of time-series forecasting, regression analysis, and statistical modeling.

    + Experience working with large data sets, data wrangling, and ETL processes.

    + Familiarity with energy trading, commodities, or financial markets preferred.

    + Ability to clearly communicate quantitative results to diverse audiences.

    + Strong problem-solving, organizational, and interpersonal skills.

     

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