DSS Data Scientist | Schlumberger

Job Details

DSS Data Scientist

Houston - United States

Data Scientist

 

Location: Houston, TX, USA

Company overview

About Schlumberger

 

Schlumberger is the leading provider of oilfield services, focusing on innovative technologies for reservoir characterization, drilling, and production. We are also a leading employer in the oilfield 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. We leverage strong local experience and the diversity in thought, background, and knowledge that more than 170 nationalities bring.

We employ over 82,000 people and work in more than 120 countries, we help our customers find and produce oil and gas in ways that demonstrate respect for both people and the environment. Today’s industry challenges call for new ideas, techniques, and solutions. If you want to drive your career and want to grow with a company that’s embraced new ways of thinking since 1927, we may have the career for you. Further information about Schlumberger can be found at www.slb.com

About role

 

Schlumberger has an opening in Houston for a Data Scientist role in the Digital Subsurface Intelligence team, who will be responsible for guiding the successful delivery of Analytic Solutions to internal and external customers. The Data Scientist will be responsible for designing and executing undirected research and tackling open-ended data problems related to AI, ML, predictive / analytical modeling, data mining, and research on large scale, complex data sets, using statistical, machine learning, graph modeling, text mining and other modern techniques. This individual is also responsible for collaborating with various teams and providing periodic updates through presentations and prototype demonstrations. The role will require working on multiple projects simultaneously. This position will also be involved in the formulation of key business requirements to be solved, rationalizing the various analytical approaches to solve those problems. Finally, this position is involved in helping to develop, analyze and draw conclusions, and presenting the results back to business users.

Responsibilities

 

 

  • Researches and assesses next-generation technologies for data-driven solutions in subsurface resources exploration and production
  • Generates innovative ideas, establishes new research directions, and shapes and executes on technical projects
  • Applies theoretical knowledge to solve industrial problems
  • Applies engineering knowledge in developing data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction, and optimization
  • Works with business and engineering teams to implement robust and scalable industrial software solutions
  • Maintains state-of-the-art knowledge and contributes to technical discussions and reviews as an expert in related areas of responsibility
  • Communicates ideas, plans, and results effectively via oral and written reports - Works effectively with peers, management, operations groups, and outside organizations
  • Participate in technical forums and other appropriate events and conferences

Qualifications and Requirements

Essential qualifications

 

  • Master’s degree in computer science, mathematics, physics, applied science, engineering or similar disciplines with demonstrated research capability and relevant multi-year industry experience
  • Demonstrated experience in developing core machine learning algorithms in professional research and development settings
  • Strong background in some of these listed areas: machine learning, time series analysis / sensor processing, deep learning, optimization/operations research, text analytics/NLP, computer vision
  • Demonstrated experience in building and applying machine learning / predictive modelling in real-world use cases
  • Excellent communication, verbal and written skills
  • Candidates must be able to legally work and reside in the US, without sponsorship

Preferred qualifications

 

  • PhD in the disciplines above with relevant multi-year industry experience
  • Excellent knowledge of developing deep learning models using tools such as TensorFlow, Pytorch, Keras, etc.
  • Understanding and past experience of Oil and Gas domain is a plus
  • Understanding and past experience of Energy Transition domain is a plus
  • Experience working with, processing, and managing large data sets (multi-TB scale) is preferred
  • Track records of past publications in relevant topics
  • Immediate availability is an advantage
  • Ability in designing distributed and parallelized algorithms

Other skills and abilities

 

  • Strong ability to work in a fast-paced environment
  • Strong ability to work both autonomously and in a team
  • Strong ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to both technical and non-technical audiences
  • Excellent time-management, multi-tasking, and communication skills. Capable of juggling multiple projects and related complexities at the same time
  • Good interpersonal and communication skills
  • Have a good understanding of latest technology trends for developing back end for Cloud applications

 

Schlumberger is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, 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.

 

 

DSS Data Scientist
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