D&I Data Scientist | Schlumberger

Job Details

D&I Data Scientist

Rio de Janeiro - Brazil

Job Summary:

The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.
 
Roles and Responsibilities:

  • Demonstrate advanced working knowledge and experience with machine learning algorithms and optimization methods.
  • Generate innovative ideas, establish new research directions, and shape and execute on technical projects.
  • Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.
  • Apply theoretical knowledge to develop solutions to industrial and/or business problems.
  • Process large multivariate data sets collected from logging, equipment operations, manufacturing tests and diagnostic routines.
  • Apply engineering knowledge in developing data-driven algorithms
  • Communicate ideas, plans and results effectively via oral and written reports.
  • Collaborate with field and product engineers to identify key challenges and solutions.

Qualifications and Experience:

  • BSc in Engineering, Computer Science, Mathematics or related field
  • Knowledge and experience in Python
  • Experience in end-to-end solution development (data gathering, modeling and deployment)
  • Experience with or exposure to Agile and iterative development processes.
  • Experience with Azure DevOps
  • Good written and verbal English communication skills
  • Strong analytical, problem-solving organizational and prioritization skills
  • Ability to work well in a team

 

SLB 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, or other characteristics protected by law.