Data Scientist - Houston, United States - The Burchell Group

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    Description

    Job Title:

    Data Scientist


    Type:

    Direct Hire


    Location:


    Houston, TX - Hybrid

    The Data Scientist role is a technical individual contributor role, focused on supporting business opportunities through the use of exploratory data analytics, machine learning models and generative AI opportunities.

    This role presents an exciting opportunity for a data scientist to contribute to the advancement of the company data science transformation, leveraging expertise in data analytics to drive innovation and optimize operational outcomes.


    Roles & Responsibilities


    The primary responsibility involves leading and participating in multi-disciplinary projects aimed at providing business solutions to a diverse set of problems ranging from, but not limited to, production automation/optimization, drilling and completion process optimization, back-office process improvement and automation, dashboard generation and deployment, and computer vision aided operations.

    Additionally, the Data Scientist will contribute to the adoption of new technologies and best practices for analytical workflows.

    The ability to work well on a team and in support of core business functions will be critical to the success of this role.



    Requirements


    • Master's or Bachelor's degree in Data Science, Computer Science, or related field
    • 0-7 years of relevant experience
    • Proven experience and/or education in data analytics and management of large datasets
    • Proficiency in Python and data mining tools
    • Strong interpersonal and collaborative skills
    • Demonstrated ability to work in a team-oriented environment
    • Excellent presentation skills

    Preferred


    • Master's degree or PHD or certification in Data Science or Data Analytics
    • Familiarity with additional programming languages (SQL, R, C++, etc.)
    • Previous Oil and Gas operator experience
    • Exposure to Petroleum Engineering and Geoscience workflows
    • Exposure to the energy sector, particularly unconventional exploitation programs