Computational Geoscientist @ Leidos | Jobright.ai
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Leidos · 4 days ago

Computational Geoscientist

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Insider Connection @Leidos

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Development of computation risk analysis and assessment tools for geological carbon storage.
Assisting in the preparation of technical papers, reports, conference papers, and annual and quarterly reports.
Presenting the results of the research at technical conferences and publishing in archival journals.
Presenting technical findings during regular team meetings as well as at workshops and professional conferences.
Collaborate with multidisciplinary group of science researchers to accomplish project tasks
Build relationships with internal and external clients

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonNumPySciPyPandasMatplotlibGitNETL Systems CommunicationMachine LearningTensorFlowPyTorchKerasSubsurface Geology

Required

Bachelor’s degree in computer science, hydrogeology, petroleum engineering, reservoir engineering, wellbore engineering, machine learning, data science, math, computational geology, geophysics, physics or similar field with 3+ years of relevant working experience. Or a Master’s degree in computer science, hydrogeology, petroleum engineering, reservoir engineering, wellbore engineering, machine learning, data science, math, computational geology, geophysics, physics or similar field with 1+ years of relevant working experience
Experience with software development in Python; demonstrated knowledge of common Python libraries such as NumPy, SciPy, Pandas, Matplotlib
Experience with version control systems such as git
Strong written and verbal communication skills
U.S. Citizen
Must be able to meet the requirements for gaining access to work on the NETL systems/campus
Must be willing to travel periodically as business needs require (1-3 times a year)

Preferred

Experience with supervised and unsupervised machine learning algorithms
Knowledge of Python machine learning packages such as TensorFlow, PyTorch, Keras
Evidence of substantive participation in subsurface geologic scientific community

Company

Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health.

Funding

Current Stage
Public Company
Total Funding
unknown
2013-09-17IPO· nyse:LDOS

Leadership Team

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Kirk Smedley
Chief Technology Officer, Spatial Solutions
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Amy Smith
Senior Vice President, Government Affairs
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