August 29, 2024

Idaho National Laboratory

Idaho Falls

FULL TIME

Machine Learning Data Scientist

Machine Learning Data Scientist - (21676)

DESCRIPTION

Idaho National Laboratory is hiring a Machine Learning Data Scientist to work in our AI Data and Visualization department. Our team works a 9x80 schedule located out of our C3 facility with every other Friday off. Hybrid work opportunities may be available for this position.
We apply data science, data engineering, computer programming, and AIML models to solve problems related to nuclear energy and energy security. You will perform research and development to conceptualize and employ novel solutions that advance state-of-the-art energy security, nuclear materials, and fuels. You will work with teams in multiple disciplines including 3D visualization, cybersecurity, materials science, high performance computing, physics, engineering, and more.
Responsibilities Include:

Lead data science research and analysis projects, providing oversight and technical leadership
Identify meaningful insights from large data and metadata sources; interpret and communicate findings from analysis and experiments to researchers, and program managers.
Develop and maintain software to help support researchers and program managers. This includes developing, testing, and deploying software code to development, staging and production environments.
Develop and integrate AI/ML solutions and data analytics expertise with INL High Performance Computing resources.
Be a thoughtful leader and strong communicator with senior leaders, sponsors, and other team members.
Conduct facilitation sessions to gather requirements.
Work with mission and research teams to identify questions and issues for data analysis and experiments.
You will report to the Department Manager.

QUALIFICATIONS

Minimum Requirements:

Level 3: Bachelor’s and 5 years of relevant experience. Master’s and 2 years of experience. Ph D and 2 years of experience. Acceptable degrees are data science, engineering, mathematics, computer science, physics, autonomy, artificial intelligence, or related technical discipline
Level 4: Bachelor’s and 9 years of relevant experience. Master’s and 6 years of experience. Ph D and 4 years of experience. Acceptable degrees are data science, engineering, mathematics, computer science, physics, autonomy, artificial intelligence, or related technical discipline.
Experience applying AIML to cybersecurity in network traffic analysis or natural language processing
Experience developing visualizations related to analytics to help communicate results
Specific skills: Project management, data analytics & visualization, statistical modeling, machine learning, deep learning, Python, Pandas, Num Py, SKLearn, Pytorch & Keras, Tensorflow, C#, Dot Net Core, SQL, Postgres, My SQL, Git, Docker
This position requires the ability to obtain and maintain a Department of Energy "Q" clearance, which requires US Citizenship.

Job Information:

The pay range for this position is Level 450 ($91,008 -186,588) / Level 460 ($109,260 - $223,908). At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
You are required to show a demonstrated commitment to valuing diversity and contributing to an inclusive working environment
TDP: This is a testing designated position; you will be required to submit to a pre-employment drug screen and periodic drug testing throughout the term of your employment.

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 Energy’s mission in nuclear energy research, science, and national defense. With more than 5,000 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to discover new science and development technologies that underpin the nation’s nuclear and renewable energy, national security, and environmental missions.

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 world’s energy future and secure our nation’s 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 www.sss.gov.

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. Women and People of Color are strongly encouraged to apply.

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.

PRIMARY LOCATION: US-ID-Idaho Falls

JOB: Computer Information Systems

ORGANIZATION: Nuclear Science & Technology (Cxxx)

SCHEDULE: Full-time

EMPLOYEE STATUS: Regular

JOB POSTING: Aug 29, 2024, 12:13:00 PM

UNPOSTING DATE: Sep 21, 2024, 12:59:00 AM

RELOCATION: Position Relocation Eligible

TELEWORK: Hybrid Worker

FEDERAL OVERTIME STATUS: Exempt