Lead Data Scientist

Schlumberger Limited; Houston (TX); Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Health, vision, and dental insurance

Learning opportunities and global team

Diversity and inclusion programs

Job summary

Schlumberger Limited is seeking a leader in Digital Technology & Research to drive AI/ML solutions for industrial engineering. You will oversee the design, deployment, and governance of PHM models, time-series analytics, and scalable data pipelines that power predictive maintenance and asset optimization.

You will build production-grade analytics, dashboards, and LLM-based workflows integrated with enterprise data sources.

Qualifications

• Master’s degree in Data Science, Computer Science, or related STEM field with 3+ years of post-baccalaureate experience.
• Experience applying domain knowledge of oil and gas equipment to develop ML solutions.
• Experience deploying ML models in production including edge/near-edge deployments.
• Experience integrating ML models with production engineering workflows and dashboards.
• Experience with enterprise data science platforms (Dataiku, Azure, GCP).

Responsibilities

• Lead design, development, deployment, and lifecycle management of data science/AI solutions for industrial engineering applications.
• Develop prognostics and health management models using time-series and event-based data.
• Build end-to-end data science workflows: ingestion, feature engineering, validation, deployment, monitoring.
• Develop AI-enabled apps and dashboards for technical and business stakeholders.
• Architect and operate production-grade LLM agents and GenAI workflows.

Skills

PHM modeling

Time-series analytics

ModelOps

LLM workflows

Dataiku

Azure

GCP

Data pipelines

Dashboards (React/Dash/Streamlit)

Prognostics & health monitoring

Education

Master's degree in Data Science/CS/Math/Engineering

Tools

Dataiku

Azure

GCP

React

Dash

Streamlit

Job description

Digital Technology & Research, Engineering & Design, Manufacturing

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;
• (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.

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, visit our Diversity & Inclusion | SLB (slb.com) page for more information.

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 [e-mail] 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.

STATE INFORMATION

• 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.

Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.

Insurance

Health, vision, and dental insurance for you and your dependents available from day one.

Learning Opportunities

Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere.

Diverse and Inclusive

Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced.

About Us

We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all.

Global in outlook, local in practice - and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally.

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law.