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LED FastStart

Machine Learning Research Scientist

LED FastStart Ruston, Louisiana, United States

Oil and Gas · 201-500 employees

5 d ago
machine-learning Mid (2-5 yrs) Full-time United States
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About the role

The Research Data Scientist will develop and apply machine learning, data mining, and statistical algorithms to analyze diverse data sources. Responsibilities include documenting technical progress, communicating within a team, and presenting research results to stakeholders.

What they look for

Python Deep Learning Machine Learning Data Mining Statistical Algorithms PyTorch Pandas Seaborn SciPy Git DevSecOps MLOps C++ Numerical Methods Differential Equations Algorithm Analysis

Requirements

Candidates must hold a Master's degree in a quantitative field with a minimum 3.5 GPA and possess strong Python programming skills. Applicants must be US citizens eligible for a security clearance and have working knowledge of deep-learning architectures.

Full description

JOB SUMMARY

Machine Learning Research Scientist HR102474 Type: Full Time Location:

Ruston, LA Position Description:

Radiance Technologies is searching for a talented Research Data Scientist to join the Advanced Cyber Technology Operation in its Scientific and Technical Intelligence Group. This individual will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and will apply machine learning, data mining, and statistical algorithms to provide insights and advance the needs of various stakeholders. This position will particularly focus on application, research, and development of advanced deep-learning architectures. The ability to work under strict project timelines requires a research-oriented individual capable of independent ideation and effective task prioritization. Flexibility and willingness to transition between applications is critical as our mission calls for a wide variety of domains including embedded systems, hardware and software security, remote sensing, modeling and simulation, and scientific computation (biology, thermodynamics, electromagnetics, etc.). Responsibilities will include documentation of technical progress, effective communication within a team, and presentation of results and progress. Required Skills:

Master's Degree in Computer Science, Mathematics, Statistics, Physics, or related area Minimum GPA of 3.5 US citizenship with the ability to obtain a security clearance Strong programming background in Python A working knowledge of major Deep-Learning architectures: Multilayer Perceptrons (MLPs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers Experience in applying core Machine Learning methodologies: Regression, Classification, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering, Reinforcement Learning Desired Qualifications:

Possesses or pursuing Ph.D. in Computer Science, Mathematics, Statistics, Physics, or related area Publications/presentations demonstrating strong research experience Experience in an applied quantitative, scientific domain Experience with PyTorch, Pandas, Seaborn, SciPy, or respective similar libraries Experience with Git and modern DevSecOps practices Experience with modern MLOps frameworks such as ClearML Strong programming background in C++ Experience with numerical and computational methods Knowledge of differential equations Knowledge of algorithm analysis and computing theory Knowledge of graph theory Clearance: Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. EOE/Vet/Disabled www. radiancetech. com

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