Senior Data Analyst - Advanced Analytics

Minimum Requirements:

• Level 4: Bachelors degree and 9 years relevant experience in Data Science Computer Science Mathematics Statistics or a related field; or a Masters 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 $111888 - $229284. 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 Energys mission in nuclear energy research science and national defense. With more than 5000 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 nations 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 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 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 INLs 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 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.
• Represent INLs 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