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Salary
≈ $117k – $230k per year (Estimated)
Location
In office (Houston)
Seniority
Staff · 3+ years exp

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Sep 8, 2026.

Overview
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SLB

Headquartered in Houston, Texas, SLB (formerly known as Schlumberger) is a global energy technology company specializing in innovative solutions for the oil and gas industry. The enterprise provides a comprehensive range of services and digital technologies, spanning well construction, reservoir performance, and production optimization. Operating in over 120 countries, SLB also drives clean energy initiatives, supporting decarbonization, carbon capture, and new energy systems worldwide.
Backed by Aramco Ventures
Full-time or part-time: Full-time

Job title: Lead Data Scientist

Job Location: 1430 Enclave Pkwy, Houston, TX 77077

Job Description:

Responsible for providing technical leadership in the design, development, deployment, and lifecycle management of advanced data science, machine learning, and artificial intelligence solutions for industrial and production engineering applications. Focus on building scalable, production-grade analytical systems that support predictive maintenance, operational optimization, and engineering decision-making for asset-intensive environments, including pumps and electric submersible pump (ESP) systems. Design and implement end-to-end data science workflows encompassing data ingestion, feature engineering, model development, validation, deployment, monitoring, and continuous improvement. Require hands-on development of prognostics and health management (PHM) models using time-series, event-based, and operational datasets, as well as the implementation of ModelOps practices to ensure model reliability, version control, performance tracking, retraining, and governance in production environments. Lead the development and deployment of AI-enabled applications, including web-based analytical tools, dashboards, and decision-support systems, to deliver insights to technical and business stakeholders. Architect, build, and operate production-grade large language model (LLM) agents and LLM-based workflows, integrating them with enterprise data sources, analytical models, and software systems, and ensuring these solutions meet scalability, performance, and operational requirements. Leverage enterprise data science platforms, such as Dataiku or equivalent tools, to orchestrate analytics pipelines, manage model lifecycles, and enable collaboration across teams. Provide technical guidance and mentorship to other data scientists, contribute to architectural decisions for analytics and AI systems (including edge or near-edge deployments where applicable), and ensure compliance with internal software development, data governance, security, and operational standards.

Minimum Education & Experience Requirements:

Master’s degree in Data Science, Computer Science, Computer and Information Science, Statistics, Engineering, Applied Mathematics, or a related STEM field, or foreign equivalent, plus 3 years of post-baccalaureate experience in the job offered or in data scientist, machine learning engineer, applied AI engineer, or related analytical job titles.

Applicants must have 3 years of experience in the following: (1) Applying domain knowledge of oil and gas equipment and production systems to develop or deploy machine learning solutions using operational and sensor data for PHM, condition monitoring, or production optimization in production environments; (2) reliability analytics using operational, sensor, and event-based data; (3) deploying and operating machine learning models in production systems, including integration and execution for edge or near-edge applications; (4) integrating machine learning, deep learning, LLM-based systems, and visualization tools with production engineering workflows; (5) machine learning and deep learning model development for industrial assets, including predictive maintenance, anomaly detection, forecasting, and asset health monitoring in oil and gas production and engineering environments; (6) enterprise data science and cloud platforms, including Dataiku, Microsoft Azure, and Google Cloud Platform (GCP), to build and manage data pipelines, ML workflows, and GenAI applications; (7) Generative AI and RAG systems, including deploying and operating architectures combining LLMs with structured and unstructured data sources; and (8) building interactive dashboards and analytical interfaces using frameworks such as React, Angular, Dash, or Streamlit.

Telecommuting permitted less than 50% per week within the same geographic location as the assigned Schlumberger Office location.

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ALL APPLICANTS FOR U.S. ROLES MUST CAREFULLY READ ALL THE SUPPLEMENTAL U.S. SPECIFIC INFORMATION LISTED BELOW.

SLB is committed to a culture where everyone feels like they belong. To learn more about our diversity, equity, and inclusion commitments, please visit our Diversity & Inclusion | SLB (slb.com) page for more information.

When certifying your application, you are also certifying on reading and understanding all of the below supplemental information. For purposes of the application and the below information, Company shall be defined to mean SLB. Please note that the below supplemental information and the employment application are NOT a contract.

  • EQUAL EMPLOYMENT OPPORTUNITY & VETERANS

    Company policy is to provide every individual a fair and equal opportunity to seek employment and advancement at the Company without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, citizenship, genetic information, veteran or military status, disability, creed, ancestry, pregnancy (including pregnancy, childbirth and related medical conditions), marital status or any factors protected by federal, state, or local laws. We are an "Equal Opportunity Employer". For more information please, refer to the latest version of "Know Your Rights" poster and the "Pay Transparency Nondiscrimination Poster" located here: https://www.dol.gov/agencies/ofccp/posters. The Company is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.

  • REASONABLE ACCOMMODATIONS

    The Company will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you require such assistance to complete the application or to participate in the interview process, please contact [email protected] to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to.

  • AUTHORIZATION FOR EMPLOYMENT

    Pursuant to the Immigration Reform and Control Act of 1986, all applicants who are offered and accept employment must produce documents establishing their identity and authorization for employment in the United States. These documents must be produced no later than seventy-two (72) hours after employment commences. In addition, all applicants who are offered and accept employment will be required to verify their employment authorization under oath by signing a USCIS Form I-9. SLB is an E-Verify employer.

  • APPLICATION CERTIFICATION

    When applying to a job please read the application carefully before certifying that all of the answers you have given are true, accurate and complete. Ensure that you have read and fully understand the questions asked in the application. Unless noted otherwise, by certifying the application, you are also agreeing to and/or authorizing the following:

    • You understand that any omission and/or misrepresentation of any fact from or on the application or during any interview will result in immediate rejection of the application, or if hired, will be cause for immediate dismissal.
    • You certify that you have read and understand all the supplemental information listed on the job description page for the job that you are applying for.
    • You authorize the Company to contact the education institutions that you have attended and for the Company to make any further investigations deemed necessary in connection with your application for employment.
    • You authorize the Company to inquire about, investigate and obtain copies of any records which relate to you from your former employers and educational institutions.
    • You release the Company and all affiliated persons and entities, as well as any person or institution that provides the Company with any lawful information about you, from any and all liability whatsoever resulting from any such lawful inquiry, investigation, or communication.
    • You agree that if hired, you will review and become familiar with all the rules and regulations of the Company.
    • You understand and agree that nothing in the application or supplement shall constitute an offer, a contract, or a guarantee of employment for a specific period of time.
    • If hired, you understand that your employment may be terminated with or without cause and with or without notice at any time, at the will of the Company or yourself, for any or no reason.
    • If hired, you understand that no supervisor or manager has authority to make an agreement to the contrary changing employment at-will.
    • If hired, you understand that the Company and all plan administrators shall have the maximum discretion permitted by law to administer, interpret, modify, discontinue, enhance, or otherwise change all policies, procedures, benefits or other terms and conditions of employment.
    • You understand that any application that is filled out will be in effect for 90 days from the date you certified it and, if employment is not offered within the 90-day period, you understand that you must reapply to be considered for future employment.
    • You understand that your application for employment in no way obligates the Company to employ you.
  • STATE INFORMATION

    Please read below any applicable State Information. By certifying the application, you are also certifying that you have read and understood any applicable State Information that is listed below.

    • ARIZONA APPLICANTS ONLY:To the extent required by applicable law, the Company maintains a smoke-free workplace.
    • CALIFORNIA APPLICANTS ONLY:I understand the Company may obtain, without using the services of a third party investigative consumer reporting agency, public records pertaining to my character, general reputation, personal characteristics, or mode of living during its evaluation of my application for employment and, if employed, during my employment. By checking the following box, I waive my right to receive copies of public records obtained by the Company.
    • MASSACHUSETTS APPLICANTS ONLY:Note that it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
    • MARYLAND APPLICANTS ONLY:Under Maryland law, an employer may not require or demand, as a condition of employment, prospective employment, or continued employment, that an individual submit to or take a lie detector test. An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100.
    • NEBRASKA APPLICANTS ONLY: By certifying the application you, hereby give consent to any and all prior employers of yours to provide information with regard to your employment with prior employers to SLB.
]]>
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