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Data Scientist
United State Of America
May 12, 2019
Salary: Negotiable
Experience 3.0-6.0 years
Job Category IT and communications Jobs
Employment Type Full time
Industry Oil & Gas
Skill IT - Analysis & Management
Role Database Administration Jobs ,Database Developer Jobs
Designation Other
Education M.Tech,Ph.D
No. of vacancies 1
About Company

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.

Job Description

Roles and Responsibilities 

  • Attends seminars and online training as required for professional and business needs.
  • Ensures that the basic MBO cycle (Job description, SOP, quarterly performance review, SLP3, objectives, etc) is implemented for everyone including himself and for those under his/her supervision.
  • Manages personal development and keeps current on technology advances within the domain of Data Science.
  • Data Scientist will be in charge of research and delivery of Proof of Concepts solutions, responding to clear and specific business needs. Extra scope of the role includes project management, data preparation, data analysis, model development and fundamental research in the domain of Artificial Intelligence.
  • Machine/Deep Learning (algorithms, neural networks)
  • Natural Language Processing (detection, classification)
  • Computer Vision (object recognition/tracking, OCR/handwriting recognition)
  • Probabilistic Models, Markov Random Fields, Bayesian networks, semi-supervised learning
  • AI vendor platforms: Google, Microsoft Azure, Amazon

Qualifications and Experience: 

• Masters/PhD in Computer Science, Applied Mathematics & Statistics with Machine Learning and Artificial Intelligence courses. 

• 3+ years in a Data Scientist position. 

• Proficiency in data processing and machine learning including clustering, regression, classification, natural language processing, time series, neural network 

• Proficiency with Python and its various libraries for data processing, visualization and modeling (Scikit-learn, Matplotlib, Pandas, PySpark, Keras etc.), Matlab or R 

• Expertise in visualizing and manipulating big datasets 

• Experience working on Tableau/Spotfire/PowerBI, exposure to working in Linux 

• Cloud based data processing and model deployment experience (GCP/Azure) 

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