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Schlumberger: Advanced Analytics Leader

Lead the team working with the data and business intelligence resources to build and deliver analytics capabilities to the business segments and support the business and IT transformation.

Schlumberger Company: Schlumberger
Location: Houston, TX


A tradition of excellence and innovation

Schlumberger is the leading provider of oilfield services, focusing on innovative technologies for reservoir characterization, drilling, and production. We're also a leading employer in our sector-with a reputation for hiring the best and the brightest people and keeping them at the top of their game through rewarding career-long development opportunities. We leverage strong local experience and the diversity in thought, background, and knowledge that more than 140 nationalities bring.

We employ over 120,000 people and work in more than 85 countries, we help our customers find and produce oil and gas in ways that demonstrate respect for both people and the environment. Today's industry challenges call for new ideas, techniques, and solutions. If you want to drive your career and want to grow with a company that's embraced new ways of thinking since 1927, we may have the career for you. Further information about Schlumberger can be found at

Corporate Transformation: Schlumberger is embarking on a multi-year corporate transformation. Objectives of the transformation include step changes in productivity and operational efficiency. Building a strong data and analytic competency across the company is a strong part of operating as a digital organization that is well positioned to compete and deliver on these productivity gains. The scope encompasses both business and operational data and having an analytics strategy around both is required.


The Schlumberger Enterprise Informatics team has an opening in Houston Texas for an advanced analytics leader who will be responsible for working with the data and business intelligence resources to build and deliver analytics capabilities to the business segments and support the business and IT transformation.

Apply online.

Must be able to work in the US without Sponsorship.


  • Build and lead a team of data science and advanced analytics talent. Define the appropriate skill and experience mix.
  • Create a culture of integrity and compliance.
  • Guide technical career development and build organizational talent.
  • Inspire and sustain technical excellence, high performance and urgency regarding improving current practices.

  • Create and execute on a technical vision around application of modern data science and analytic technologies to business and operational data.
  • Create and work towards a big data infrastructure strategy.
  • Create a roadmap of implementation/insertion aligned with business and ITT roadmaps.

  • Engage with the business segments and internal stakeholders to define high impact problems and needs around analytics.
  • Drive accountability and execution of programs. Make technology/capability transition a priority.
  • Comprehend and stay ahead of market and business needs in analytics.
  • Work closely with internal stakeholders associated with IT and broader transformations.

External Presence
  • Engage with the external technical and business community to brand and differentiate analytics in Schlumberger.
  • Participate in technical and recruiting forums and other appropriate events to make Schlumberger analytics a recognized and preferred choice for top analytics talent.

  • Masters Degree in a quantitative discipline like Engineering, Statistics, Information Sciences.
  • (Desirable) PhD in a quantitative discipline.
  • Minimum 5 years of professional experience in an industrial or academic setting post a PhD. Minimum of 7 years post Masters.
  • (Desirable) Prior leadership experience with analytic teams.
  • Excellent communication, verbal and written skills

Key Competencies in Data Science Technologies:
  • Experience with Big Data analytics stack technologies and tools. R, Hadoop, Spark, Python etc.
  • Experience with essential statistical and machine learning algorithms, including classification. Regression, clustering, statistical learning, ensemble methods.

  • Exposure to putting analytics in production.
  • Experience with agile methodologies for delivering analytics outcomes.
  • Knowledge of Oilfield terminology and business practices
  • Change Management
  • Teamwork
  • Influencing skills.

  • Must be able to work in the US without Sponsorship

As a leading employer in our industry, Schlumberger is proud to offer a highly competitive package of base and incentive compensation as well as a comprehensive benefits program designed to support the health, wellness and financial security of our employees and their families.

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or other characteristics protected by law. Schlumberger is a VEVRAA Federal Contractor - priority referral Protected Veterans requested.

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