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    Analytics Engineer - Houston, United States - Occidental Petroleum Corporation

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    Description
    Occidental is an international energy company with operations in the United States, Middle East, Latin America and Africa.

    We are the largest onshore oil producer in the U.S., including in the Permian Basin, and a leading offshore producer in the Gulf of Mexico.

    Our midstream and marketing segment provides flow assurance and maximizes the value of our oil and gas. Our chemical subsidiary OxyChem manufactures the building blocks for life-enhancing products.

    Our Oxy Low Carbon Ventures subsidiary is advancing leading-edge technologies and business solutions that economically grow our business while reducing emissions.

    We are committed to using our global leadership in carbon dioxide management to advance a lower-carbon world. Visit for more information.

    Occidental strives to attract and retain talented employees by investing in their professional development and providing rewarding opportunities for personal growth.

    Our goal is to meet the highest employer standards by ensuring the health and safety of our employees, protecting the environment, and positively impacting our communities where we do business.

    We are currently looking for experienced, motivated, and creative individuals to fill an Analytics Engineer position within Oxy's Operations Technology Team in Houston, TX.


    Responsibilities:
    Communicate with stakeholders across the business to understand, document, and prioritize their problems.
    Train users, evangelize solutions, and share best-practices throughout the company.
    Use data visualization to provide insights to the business.
    Automate business processes with technology.
    Apply cutting edge AI to new problems, such as optimizing artificial lift or extracting insights from text data.


    Qualifications:

    Bachelor's degree in technical degree including any engineering discipline, computer science, or data analysis.
    Experienced with programming, data analysis, and machine learning.
    Extensive experience with data analysis, data visualization, machine learning, and business process optimization.
    Extensive experience with Python, SQL, and Git.
    Excellent oral and written communication skills.
    Passion for learning new things.
    L

    egal authorization to work in the US on a fulltime basis.
    Additional Desired

    Qualifications:

    Experience in the oil and gas industry.
    Experience with Spotfire or Power BI.
    Experience using AWS or Azure.
    Experience with image recognition.
    Experience with large language models.
    This position may be eligible for relocation.
    Occidental does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.
    Occidental is an Equal Opportunity/Affirmative Action Employer.

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, marital status, political preference, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

    It has come to our attention various individuals and/or organizations are contacting people falsely pretending to recruit on behalf of Oxy.

    Please be aware that these recruiting scams and communications do not originate nor are they associated with our recruitment process.

    Oxy does not charge a fee at any stage of the recruiting process


    We will never:
    Ask you to pay for applications, interviews, meetings, processing, training or for any other fees
    Use recruiting or placement agencies that charge candidates an advance fee of any kind or
    Request personal information such as passport and bank account details at an early stage of our recruitment process.
    We recommend against responding to unsolicited business propositions or offers from people you don't know. Do not disclose your personal or financial details. If you believe you have been the victim of a recruiting scam, please contact your local police department.

    #J-18808-Ljbffr

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