IEOR - Designing a More Efficient World

Data Scientist at Schlumberger

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Employer: Schlumberger

Expires: 04/01/2020

Job Description    We are seeking scientists and engineers with a strong fundamental understanding of various modern machine-learning methods to address highly challenging scientific & engineering problems.Responsibilities> Research and develop data analytics and/or machine learning systems for business applications;> Work with domain experts to understand needs & constraints;> Work with software engineers to integrate ML solutions in business workflows;> Communicate sophisticated ML concepts to management, clients, and the business community. Qualifications > BS / MS / PhD in Computer Science, Statistics, EE, Applied Mathematics, Physics, Chemistry or Biology> Programing experience in one or more general purpose languages.> 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.> Familiarity with ML frameworks such as Tensorflow, Theano, MXNet, etc. is a plus.> Experience with big-data technologies such as Hadoop/Spark is a plus.> Strong oral and written communication skills> Ability to work independently and in a team of scientists and engineersPlease apply through your school system and online at 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.