Senior Technical Professional - Technologist

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 world’s largest providers of products and services to the global energy industry.

Senior Tech Prof-Technologist

Overview

We are seeking a geophysicist with an interest in machine learning to join our team in Houston to develop innovative approaches in geophysical processing, inversion, or interpretation for the energy sector. Successful candidates will work alongside a team of experienced geophysicists, geoscientists, and software developers. You will be responsible for the design and implementation of solutions that will improve geophysical workflows for our customers.

We are looking for a candidate with strengths in one or more of the following subject areas:

• Applied mathematics
• Geophysical processing, inversion, or interpretation
• Geoscientific data analysis
• Machine Learning
• Deep Learning

Job Description

• Under general supervision, you will assist in the design and implementation of new data driven solutions for Landmarks Computational Science and Engineering for Energy Organization
• Skills are typically acquired through the completion of a PhD in a numerical science or computing subject
• Ideal candidates will have technical experience of applying data science techniques to solve technical problems

Required skills:

• Experience in geophysical processing, inversion, or interpretation
• Technical experience with scientific programming languages (e.g., Python, C++, java, FORTRAN)
• Experience in using common data science libraries (e.g., pandas, numpy, scipy, scikit-learn, keras, tensorflow, pytorch, etc.)
• A strong background in applied mathematics, data analysis, statistics, linear algebra, or machine learning
• Ability to effectively communicate your work and ideas with specialists and non-specialists.
• Strong organization and project management skills

Advantageous skills:

• Experience with geoscience data types (LAS, SEG-Y, etc.) and databases (OpenWorks, Recall, etc.)

• Experience of working in remote teams across multiple time zones
• Experience with physics-informed neural networks, Fourier-neural operators, and hybrid deep-learning methods

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.  Depending on education, experience, and skill level, a variety of job opportunities might be available