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Data Scientist

The Data Scientist is responsible to address highly challenging scientific and 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.
This position reports to the Data Analytics Program Manager.
Essential Responsibilities and Duties:
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 and constraints
· Work with software engineers to integrate ML solutions in E&P workflows
· Communicate sophisticated ML concepts to management, clients, and the business community.
Experience and Competencies:
· PhD in Computer Science, Statistics, Electrical Engineering, Applied Mathematics, Computational Physics/Chemistry/Biology, or a highly quantitative discipline with a minimum of three years’ experience, or,
· Master’s degree in Computer Science, Electrical Engineering, 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
Candidate must be able to legally work and reside in the US.


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