• Job Description

  Req#: 22990

  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.

  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.

  Desired 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)
  • 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.

• About the company

  Idaho National Laboratory is one of the national laboratories of the United States Department of Energy and is managed by the Battelle Energy Alliance.

Notice