Computer Security Data Scientist
Computer Security Data Scientist
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Job Description
Minimum Requirements:
- Bachelor of Science degree in data science engineering mathematics computer science physics autonomy artificial intelligence or related technical discipline.
- Level 3: Bachelors and 5 Masters and 2
- Level 4: Bachelors and 9 masters and 6
- Relevant experience commensurate with level.
- Experience in data science data analysis and software development using Python C# Java or Cor Rust.
- This position requires the ability to obtain and maintain a Department of Energy Q clearance which requires US Citizenship.
Preferred Experience:
- Experience with containerization (e.g. Docker Kubernetes)
- Experience with GPU acceleration and parallel computing
- Experience with data science packages and ML model deployment
Job Information:
- The pay range for this position is: Level 3 ($93204-$191076) / Level 4($111888-$229284 ). At Idaho National Laboratory compensation decisions are determined using factors such as education relevant experience and other credentials.
- Multi-Level: This is a multi-level posting and you will be placed at the appropriate level dependent on depth and breadth of proven experience and skills.
Physical Requirements
While performing the duties of this classification the employee is frequently required to stand walk sit stoop kneel bend use hands to handle materials manipulate tools keyboard and type reach with hands and arms and operate job-related equipment. The employee must occasionally lift and/or move up to 25 pounds. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with people is required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Benefits and Relocation
- Medical Dental Vision and Flexible Spending Accounts
- 401(k) with a 4.2% employer contribution and up to 4.8% match
- Paid time off (personal leave)
- Employee Education Program (tuition assistance)
- Comprehensive Relocation Package
- Benefit eligibility subject multiple factors including employment status and position classification.
INL is a science-based applied engineering national laboratory dedicated to supporting the U.S. Department of Energys mission in nuclear energy research science and national defense. With more than 6300 scientists researchers and support staff the laboratory works with national and international governments universities and industry partners to change the worlds energy future and secure our nations critical infrastructure.
INL Mission
Our mission is to discover demonstrate and secure innovative nuclear energy solutions other clean energy options and critical infrastructure.
INL Vision
Our vision is to change the worlds energy future and secure our nations critical infrastructure.
Selective Service Requirements
To be eligible for employment at INL males born after December 31 1959 must have registered with the Selective Service System (SSS). For more information see .
Equal Employment Opportunity
Idaho National Laboratory (INL) is an Equal Employment Opportunity (EEO) employer. It is the policy of INL to provide equal employment opportunities to all qualified applicants without regard to race color religion sex sexual orientation gender identity national origin age protected veteran or disabled status or genetic information.
Reasonable Accommodation
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Other Information
When applying to positions please provide a resume and answer all questions on the following screens. Applicants who fail to provide a resume or answer the questions may be deemed ineligible for consideration.
INL does not accept resumes from third party vendors unsolicited.
Idaho National Laboratory is hiring a Computer Security Data Scientist to work on our Cyber R&D team. Our team works a 9x80 schedule located out of our Idaho Falls facility with every other Friday off.
Apply mathematics statistics logic and computer science to derive insights and conclusions from large data sets. Design develop and test algorithms and software-based analytical tools to operationalize those algorithms using artificial intelligence machine-learning and other techniques. Adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data. Work with a multi-disciplinary team of scientists and engineers.
Responsibilities Include:
Analyze data and generate results in response to data analytics visualization and modeling needs on a variety of computational architectures (cloud on-premises edge-based).
Apply advanced technologies such as Explainable Artificial Intelligence/Machine Learning (AI/ML) Large language models (LLMs) physics-informed machine learning process-informed Machine Learning systems performance analysis and/or data sensor fusion methodologies.
Work with a multi-disciplinary team of scientists and engineers on challenging work scope.
Demonstrate effective research skills and the ability to collaborate and partner with other government agencies academia and private sector companies to achieve project objectives.
Publish results of research and development in a mix of refereed publications and conference proceedings.
Work effectively with other research teams to develop and manage cross-cutting technical programs for a variety of customers.
Develop and maintain notebooks software and/or applications.
Work with software and database developers to develop test and deploy software code to development staging and production environments.
May develop software for custom solutions including but not limited to 3D visualization tools paralleled software batch scripting and web api interaction/development.
Analyze data quality characterize and communicate data quality issues to data providers and design repeatable data processing procedures to accurately analyze data in the presence of quality issues.
Work with domain experts to understand the scope and limits of questions that can be answered by data sets identify key data features as inputs to analysis and design output metrics that elegantly describe system attributes and behavior.
Employ specialized methods and state-of-the-art data analysis and modeling tools to support the INLs mission by ensuring the nations safe competitive and sustainable use of engineered systems in many domains by applying capabilities to impactful issues in risk reliability and operational performance.
Adhere to INL policies and lab-wide procedures related to software development cybersecurity and management of sensitive information and data.
Work with data providers database administrators and software developers to diagnose and solve problems with data and software systems quickly and effectively.
Other duties as assigned.
Employment Type
Full-Time
