Data Scientist

Job ID: 17662
Job date: 2017-11-04
End Date:

Company : Schlumberger 

Country :

Role : Research Scientist 


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Job Description:
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


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Additional Info:
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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