Prepare for and practice interview questions from Idaho national laboratory.

Idaho national laboratory Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Idaho national laboratory Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Job Description - Senior Transportation Data Scientist (22990)
Job Description
Senior Transportation Data Scientist - ( 22990 )
Description
Does a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for!
Idaho National Laboratory’s (INL) Advanced Transportation Department in the Energy and Environment Science and Technology (EES&T) directorate is looking for a Senior Transportation Data Scientist for its Mobility Analytics group. Our team works onsite in Idaho Falls, Idaho with a 9X80 schedule with every other Friday off.
INL’s Advanced Transportation Department performs research and development to ensure that America’s increasingly connected transportation and energy infrastructure is reliable, secure, and affordable. The Mobility Analytics Group identifies and explores technology needs and solutions for vehicle/grid integration, connected mobility, and advanced fueling infrastructure. The group performs technoeconomic analysis, develops data-driven models of technology adoption and use, and simulates demand for transportation energy infrastructure across numerous use cases and scenarios.
As a senior data scientist, you will apply mathematics, statistics, and computer science to derive insights and conclusions from large data sets. Working with a multi-disciplinary team of scientists and engineers, you will design, develop, and test algorithms and software-based analytical tools to operationalize those algorithms. You will adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data.
To be successful in this position, you need a highly collaborative mindset, positive energy, and ability to stay focused on and achieve goals in a dynamic environment. You need to be a versatile, engaged researcher who is passionate about creating new knowledge and tools that will directly impact our nation’s future transportation and energy infrastructure.
Responsibilities:
Lead cross-functional teams to analyze data and generate results through data analytics, visualization, and modeling 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 fusion methodologies.
Develop partnerships and collaborate with government agencies, academia, and private-sector companies to achieve project objectives.
Publish results of research and development in a mix of referred publications and conference proceedings.
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.
Lead and contribute to proposal writing to acquire funding from diverse funding sponsors.
Qualifications  Minimum Qualifications:
Level 3: Master’s degree in Data Science, Applied Mathematics, Electrical and Controls Engineering, Mechanical Engineering, Transportation Systems Engineering, Operations Research, or related field with a minimum of 2 years of relevant experience or PhD and 2 years relevant experience.
Level 4: Master’s degree in Data Science, Applied Mathematics, Electrical and Controls Engineering, Mechanical Engineering, Transportation Systems Engineering, Operations Research, or related field with a minimum of 6 years of relevant experience or PhD and 4 years relevant experience.
Experience in data science, data analysis, and software development using Python, C#, Java, C++, R or similar.
A proven publication record in transportation or fueling/charging infrastructure research.
D esired Education, Skills, Experience:

PhD in Data Science, Applied Mathematics, Electrical and Controls Engineering, Mechanical Engineering, Transportation Systems Engineering, Operations Research, or related field.
Proficiency collecting, managing, and analyzing large transportation modeling and simulation tools; and performing trade-off studies and technoeconomic analysis to answer research questions related to transportation/energy infrastructure.
Experience with software version control and repository management (e.g., Git).
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.
Job Information:

The pay range for this position is: Level 3 ($93,204 - $191,076) / Level 4 ($111,888 - $229,284) 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.
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)
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.
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   Primary Location : US-ID-Idaho Falls
Job   Job : Computer Information Systems
Organization   Organization : Energy & Environment Science & Technology (Bxxx)
Schedule   Schedule : Full-time
Employee Status   Employee Status : Regular
Job Posting  Unposting Date  TELEWORK : On-Site Worker
Battelle Energy Alliance manages INL for the U.S. Department of Energy’s Office of Nuclear Energy
Idaho National Laboratory
1955 N. Fremont Ave.
Idaho Falls, ID 83415
866-495-7440

#J-18808-Ljbffr

Description Does a career focused on changing the world's energy future intrigue you? If so, we might have just the opportunity you're looking for! Idaho National Laboratory's (INL) Advanced Transportation Department in the Energy and Environment Science and Technology (EES&T) directorate is looking for a Senior Transportation Data Scientist for its Mobility Analytics group. Our team works onsite in Idaho Falls, Idaho with a 9X80 schedule with every other Friday off. INL's Advanced Transportation Department performs research and development to ensure that America's increasingly connected transportation and energy infrastructure is reliable, secure, and affordable. The Mobility Analytics Group identifies and explores technology needs and solutions for vehicle/grid integration, connected mobility, and advanced fueling infrastructure. The group performs technoeconomic analysis, develops data-driven models of technology adoption and use, and simulates demand for transportation energy infrastructure across numerous use cases and scenarios. As a senior data scientist, you will apply mathematics, statistics, and computer science to derive insights and conclusions from large data sets. Working with a multi-disciplinary team of scientists and engineers, you will design, develop, and test algorithms and software-based analytical tools to operationalize those algorithms. You will adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data. To be successful in this position, you need a highly collaborative mindset, positive energy, and ability to stay focused on and achieve goals in a dynamic environment. You need to be a versatile, engaged researcher who is passionate about creating new knowledge and tools that will directly impact our nation's future transportation and energy infrastructure. Responsibilities: <ul> <li>Lead cross-functional teams to analyze data and generate results through data analytics, visualization, and modeling on a variety of computational architectures (cloud, on-premises, edge-based).</li> <li>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 fusion methodologies.</li> <li>Develop partnerships and collaborate with government agencies, academia, and private-sector companies to achieve project objectives.</li> <li>Publish results of research and development in a mix of referred publications and conference proceedings. </li> <li>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.</li> <li>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.</li> <li>Lead and contribute to proposal writing to acquire funding from diverse funding sponsors.</li> </ul> Qualifications Minimum Qualifications: <ul> <li>Level 3: Master's degree in Data Science, Applied Mathematics, Electrical and Controls Engineering, Mechanical Engineering, Transportation Systems Engineering, Operations Research, or related field with a minimum of 2 years of relevant experience or PhD and 2 years relevant experience.</li> <li>Level 4: Master's degree in Data Science, Applied Mathematics, Electrical and Controls Engineering, Mechanical Engineering, Transportation Systems Engineering, Operations Research, or related field with a minimum of 6 years of relevant experience or PhD and 4 years relevant experience.</li> <li>Experience in data science, data analysis, and software development using Python, C#, Java, C++, R or similar.</li> <li>A proven publication record in transportation or fueling/charging infrastructure research.</li> </ul> Desired Education, Skills, Experience: <ul> <li>PhD in Data Science, Applied Mathematics, Electrical and Controls Engineering, Mechanical Engineering, Transportation Systems Engineering, Operations Research, or related field.</li> <li>Proficiency collecting, managing, and analyzing large transportation modeling and simulation tools; and performing trade-off studies and technoeconomic analysis to answer research questions related to transportation/energy infrastructure.</li> <li>Experience with software version control and repository management (e.g., Git).</li> </ul> Physical Requirements: <ul> <li>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.</li> </ul> Job Information: <ul> <li>The pay range for this position is: Level 3 ($93,204 - $191,076) / Level 4 ($111,888 - $229,284) At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials. </li> <li>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. </li> </ul> Benefits and Relocation <ul> <li>Medical, Dental, Vision, and Flexible Spending Accounts</li> <li>401(k) with a 4.2% employer contribution and up to 4.8% match</li> <li>Paid time off (personal leave)</li> <li>Employee Education Program (tuition assistance)</li> <li>Comprehensive Relocation Package</li> <li>Benefit eligibility subject multiple factors, including employment status and position classification.</li> </ul> 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. 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.

Description

Idaho National Laboratory is hiring a Senior Data Analyst - Advanced Analytics to work on our Data Analytics team. Our team works a 9x80 schedule located out of our REC 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 extract new insights from scientific data. Work with a multi-disciplinary team of scientists and engineers.

Responsibilities Include:

Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-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 scopes.
Skills include leveraging high performance computing hardware and software for data extraction, data processing, model building, and storage of both structured and unstructured data.
Adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data.
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).
Lead and participate in the planning and execution of INL's advanced analytics roadmap as it applies to the business and associated enterprise systems.
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.
Develop software for custom solutions, including but not limited to, 3D visualization tools, parallel 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 INL's mission by ensuring the nation's 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.
Represent INL's enterprise as a subject matter expert in data science, data mining, regression models, machine learning, natural language processing, and big data analytics.
Apply data science and other advanced data analytics methods and techniques beyond traditional business intelligence methods to predict patterns, estimate likelihoods, generate actionable insights, and prescribe opportunities.
This posting closes: 6/18/25

Qualifications

Minimum Requirements:

Level 4: Bachelor's degree and 9 years' relevant experience in Data Science, Computer Science, Mathematics, Statistics, or a related field; or a Master's degree and 6 years' relevant experience; or a PhD and 4 years' relevant experience.
Proficiency with data analysis tools and programming languages such as Excel, Python, R, SQL, Spark, SAS, Tableau, Jupyter Notebooks, and Microsoft Azure Notebooks.
Strong working experience data visualization skills and defining Key Performance Indicators
Ability to facilitate collaboration among groups with different backgrounds and knowledge sets and drive the group to cohesive decision making.
Ability to communicate with both business and technical audiences at all levels.
Ability to train and mentor staff in data analytics requirements, concepts, and processes.
This position requires the ability to obtain and maintain a Department of Energy "Q" clearance, which requires US Citizenship.

The ideal candidate will possess:

Experience with cloud services and cloud-based analytics (AWS, Azure, or Google Cloud Platform, etc.)
Experience with SciPy, Notebook IDE, PyTorch, TensorFlow, Cuda, Natural Language Processing Techniques, Graph Databases, Relational Databases, and a general understanding of data storage and processing.
Experience with version control and repository management (e.g., Git).

Job Information:

The pay range for this position is $111,888 - $229,284. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
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.

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 without

assistance. 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 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.

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 Senior Data Analyst - Advanced Analytics to work on our Data Analytics team. Our team works a 9x80 schedule located out of our REC 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 extract new insights from scientific data. Work with a multi-disciplinary team of scientists and engineers.

Responsibilities Include:

Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-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 scopes.

Skills include leveraging high performance computing hardware and software for data extraction, data processing, model building, and storage of both structured and unstructured data.

Adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data.

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).

Lead and participate in the planning and execution of INL’s advanced analytics roadmap as it applies to the business and associated enterprise systems.

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.

Develop software for custom solutions, including but not limited to, 3D visualization tools, parallel 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 INL's mission by ensuring the nation’s 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.

Represent INL’s enterprise as a subject matter expert in data science, data mining, regression models, machine learning, natural language processing, and big data analytics.

Apply data science and other advanced data analytics methods and techniques beyond traditional business intelligence methods to predict patterns, estimate likelihoods, generate actionable insights, and prescribe opportunities.

This posting closes: 6/18/25

Job Description - Post Bachelor's - Software Engineer (22974)
Job Description
Post Bachelor's - Software Engineer - ( 22974 )
Description
Post Bachelor's – Software Engineer
Location : Materials and Fuels Complex
Schedule : 4X10’s with every Friday off
Program Duration : 2 year
Position Overview : Idaho National Laboratory (INL) is seeking a post bachelor’s student for a two-year program designed to bridge the gap between education and career readiness. The selected candidate will work as a Software Engineer, contributing to solutions using current and latest computing technologies to partner with legacy software applications complying with NQA-1 requirements. The student will apply experience in software and hardware engineering principles, theories, concepts, and technologies with complex engineered systems.
Responsibilities:
Apply software engineering principles, theories, and concepts to processes and information display and visualization.
Plan, develop and implement software-engineering solutions to complex chemical and metallurgical processing applications and related projects. This requires flowsheet modeling, material balance calculations, and material tracking methodologies.
Support project plans and requirements, establish scope, cost and schedule estimates for development activities.
Participate in technical reviews for process data analysis at various phases of development and provide recommendations for computer technology solutions to customers and management's needs.
Maintain and upgrade a variety of database architectures and software systems, and develop new software capabilities to support chemical and metallurgical processing.
Create new methodologies and architectures that grow the organizations' mission.
Ensure Compliance with INL's safety, security, environmental, health and nuclear quality assurance requirements.
Analyze source code and system design documentation, reports from users, and other technical artifacts to create reports and present to other staff and management assessments of code quality, the probable origin and possible effects of defects and anomalies, and recommendations for improvements and enhancements.
Participate in professional development to maintain technical proficiency in current and latest technologies.
Qualifications  Minimum Qualifications:
Bachelor’s degree in computer science, software engineering, computer information systems, information technology field, or related field.
Preferred Qualifications:
Experience in Computer Science or Software Engineering with experience in Chemical, Metallurgical or Nuclear Engineering.
Have experience with chemical, metallurgical or similar process plants, systems, and equipment and understand metallurgical accounting and statistics modeling.
Mentored environment providing post-degree work experience.
Opportunities for professional development and training.
Accelerated knowledge transfer from retiring staff to early career individuals.
Review and Evaluation :
Performance and satisfaction will be reviewed at three, six, and nine months. At the nine-month review, potential next steps will be discussed:
Transition to a full-time role
Pursue additional education
Explore other opportunities
Conclude the assignment
Job Information:
The pay range for this position is $82,152 - $88,987. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
Physical Requirements  :
While performing the duties of this classification, the employee may be 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 may occasionally lift and/or move up to 50 pounds with assistance. Sufficient visual acuity and hearing capacity to perform the essential functions and interact with the public 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)
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 5,800 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.
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   Primary Location : United States
Job   Job : Computer Information Systems
Organization   Organization : Materials & Fuels Complex-MFC (Uxxx)
Schedule   Schedule : Full-time
Employee Status   Employee Status : Regular
Job Posting   Job Posting : May 29, 2025, 10:16:29 AM
Unposting Date  TELEWORK : On-Site Worker
Battelle Energy Alliance manages INL for the U.S. Department of Energy’s Office of Nuclear Energy
Idaho National Laboratory
1955 N. Fremont Ave.
Idaho Falls, ID 83415
866-495-7440

#J-18808-Ljbffr

Job Description - Senior Data Analyst - Advanced Analytics (22949)
Job Description
Senior Data Analyst - Advanced Analytics - ( 22949 )
Description
Idaho National Laboratory is hiring a Senior Data Analyst - Advanced Analytics to work on our Data Analytics team. Our team works a 9x80 schedule located out of our REC 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 extract new insights from scientific data. Work with a multi-disciplinary team of scientists and engineers.
Responsibilities Include:
Apply advanced technologies, such as Explainable Artificial Intelligence/Machine Learning (AI/ML), Large Language Models (LLMs), physics-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 scopes.
Skills include leveraging high performance computing hardware and software for data extraction, data processing, model building, and storage of both structured and unstructured data.
Adapt machine learning and artificial intelligence technologies to solve scientific problems and to extract new insights from scientific data.
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).
Lead and participate in the planning and execution of INL’s advanced analytics roadmap as it applies to the business and associated enterprise systems.
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.
Develop software for custom solutions, including but not limited to, 3D visualization tools, parallel 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 INL's mission by ensuring the nation’s 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.
Represent INL’s enterprise as a subject matter expert in data science, data mining, regression models, machine learning, natural language processing, and big data analytics.
Apply data science and other advanced data analytics methods and techniques beyond traditional business intelligence methods to predict patterns, estimate likelihoods, generate actionable insights, and prescribe opportunities.
This posting closes: 6/18/25
Qualifications  Level 4: Bachelor's degree and 9 years’ relevant experience in Data Science, Computer Science, Mathematics, Statistics, or a related field; or a Master's degree and 6 years’ relevant experience; or a PhD and 4 years’ relevant experience.
Proficiency with data analysis tools and programming languages such as Excel, Python, R, SQL, Spark, SAS, Tableau, Jupyter Notebooks, and Microsoft Azure Notebooks.
Strong working experience data visualization skills and defining Key Performance Indicators
Ability to facilitate collaboration among groups with different backgrounds and knowledge sets and drive the group to cohesive decision making.
Ability to communicate with both business and technical audiences at all levels.
Ability to train and mentor staff in data analytics requirements, concepts, and processes.
This position requires the ability to obtain and maintain a Department of Energy "Q" clearance, which requires US Citizenship.

The ideal candidate will possess:
Experience with cloud services and cloud-based analytics (AWS, Azure, or Google Cloud Platform, etc.)
Experience with SciPy, Notebook IDE, PyTorch, TensorFlow, Cuda, Natural Language Processing Techniques, Graph Databases, Relational Databases, and a general understanding of data storage and processing.
Experience with version control and repository management (e.g., Git).
Job Information:
The pay range for this position is $111,888 - $229,284. At Idaho National Laboratory compensation decisions are determined using factors such as education, relevant experience, and other credentials.
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.
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 without
assistance. 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)
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.
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   Primary Location : US-ID-Idaho Falls
Job   Job : Computer Information Systems
Organization   Organization : Information Technology (Yxxx)
Schedule   Schedule : Full-time
Employee Status   Employee Status : Regular
Job Posting   Job Posting : May 22, 2025, 9:03:21 PM
Unposting Date  TELEWORK : On-Site Worker
Battelle Energy Alliance manages INL for the U.S. Department of Energy’s Office of Nuclear Energy
Idaho National Laboratory
1955 N. Fremont Ave.
Idaho Falls, ID 83415
866-495-7440

#J-18808-Ljbffr

Idaho national laboratory Interview Questions

Idaho national laboratory Interview Guides

Idaho national laboratory Interview Questions

Idaho national laboratory Opening Jobs