Senior Data Scientist - Physics in Rio de Janeiro, Rio de Janeiro, Brazil

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Not everyone can do this job; but we're not looking for just anyone. Strong management and leadership abilities are what you need to perform this role. As Sr. Physics Scientist you will apply theories, principles and practices to the research and development of new and improved products, processes and procedures. In addition, you will perform routine research and experimentation, document progress, communicate the needs of the consumer, and participate in professional societies. A Master's degree in Science, Engineering or similar discipline is required. Must also have 4 years of related Machine Learning and Data Science experience. Completion of a Masters or PhD in Science or Engineering is preferred.



Education

PhD in Engineering, Science or similar discipline is preferred, although a Masters in Geoscience, Science and/or Engineering with sufficient experience is acceptable.



Skills

The successful candidate should have a majority of the following skills.

  1. Mastery of the tools, methodologies, technologies and language features with expertise in applying machine learning (ML), pattern recognition and predictive analytics to various problem domains
  2. Experience with deep learning, Tensorflow
  3. Restful API
  4. Computer Languages (if possible all of them): C/C++/C#, Java, Python, Matlab, SQL.
  5. Database (one or more): PostgreSql, SqlServer, Microsoft Access, Sqlite.
  6. Tools (importance in decreasing order): TFS, CMAKE.
  7. Good problem-solving ability
  8. Good oral and written English
  9. Good communicator



Position Description and Responsibilities

Responsibilities will include, but not be limited to

  • Application of machine learning workflows for the characterization of complex multi-scale rocks.
  • The integration of software modules (especially 3D visualization) into a common platform for different product workflows for the characterization of complex multi-scale rocks.
  • The implementation and verification of methods and algorithms for image processing and segmentation of complex multi-scale rocks.
  • The implementation and verification of methods for the visualization of digital rocks as needed by the product workflows
  • Provides direction for the Technical Software Architecture.
  • Mastery of the software development process especially in machine-learning solutions leveraging deep learning and Artificial Intelligent technologies.
  • Participates with management, product line, and customers in developing new applications and technologies.
  • Prepares detailed project plans and as project manager is accountable for performance of complex projects according to plan. Resolve critical/controversial issues.

The Expertise we are looking for:

  • Machine Learning
  • Scientific and Application Software Development
  • Data Analytics
  • Image Processing

Technical knowledge/skills:

  • Advise developers and/or lead the development and testing of software products and may provide support for existing software products.
  • Prepares technical training materials, makes technical presentations, and trains other presenters as called upon to facilitate technology transfer.
  • Demonstrates innovation by contributing inventions, patents, or new designs/techniques, which are regarded as major advances in the field.
  • Participates in and contributes to professional societies through technical papers, officer positions, committee memberships, distinguished lecturer, etc.

Halliburton is an Equal Opportunity Employer.

Location

Rua Paulo Emidio Barbosa 485, Rio de Janeiro, Rio de Janeiro, 21941-907, Brazil

Job Details

Requisition Number: 75963  
Experience Level: Experienced Hire 
Job Family: Engineering/Science/Technology 
Product Service Line: Wireline and Perforating  
Full Time / Part Time: Full Time

Additional Locations for this position: 

Compensation Information
Compensation is competitive and commensurate with experience.

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