Data Scientist

Location: Houston - United States

Schlumberger Software Technology group is currently seeking outstanding Data Scientist in Houston, TX to address highly challenging scientific & engineering problems for exploration and production (E&P) applications using machine-learning and data analytics methods. We are seeking scientists and engineers with a strong fundamental understanding of various modern machine-learning methods, and with good experience in a few of the following areas: deep neural networks, reinforcement learning, Markov Random Fields, Bayesian networks, semi-supervised learning, computer vision, image processing, signal processing, distributed computing, and/or numerical optimization. Computer scientists, as well as candidates with a computational physics/biology/chemistry background, along with significant machine-learning knowledge, are strongly encouraged to apply. Solid knowledge of physics and experienced in oil and gas application are a plus. Substantial programming experience is expected, preferably in Python. Experiences with one or more of the following is highly desirable:  HPC/Parallelization, operationalizing ML models; cloud computing (e.g. Google Cloud, AWS, etc.); familiarity with ML frameworks such as Tensorflow, Theano, MXNet, etc. Experience with big-data technologies such as Hadoop/Spark is a plus too.

Responsibilities:

The candidate may work on any of the following:

  • Research and develop data analytics and/or machine learning systems for E&P applications;
  • Work with domain experts to understand needs & constraints;
  • Work with software engineers to integrate ML solutions in E&P workflows;
  • Communicate sophisticated ML concepts to management, clients, and the business community.

Qualifications & Experience

  • PhD in Computer Sciences, Statistics, EE, Applied Mathematics, Computational Physics/Chemistry/Biology, or a highly quantitative discipline with a minimum of three years’ experience, or,
  • Master’s degree in CS, EE, mathematics/statistics, with a minimum of seven years of AI-related experience
  • 3 years of professional experience in Data Analytics, Machine-Learning, and/or computational physics.
  • Evidence of proficiency in programming
  • Strong oral and written communication skills
  • Ability to work independently and in a team of scientists and engineers
  • Candidates must be able to legally work and reside in the US, without sponsorship

Schlumberger 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, 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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