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Weekday Data Scientist Energy Jobs (NOW HIRING)

Teledyne FLIR LLC

Data Scientist

Falls Church, VA · On-site

... defense, energy, and environment markets. Teledyne Brown has expertise in systems integration ... We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to ...

FLIR Systems, Inc.

Data Scientist

Falls Church, VA · On-site

$150 - $195/hr

... defense, energy, and environment markets. Teledyne Brown has expertise in systems integration ... We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to ...

New

Verse

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

At Verse, we're building the energy intelligence platform for the AI economy. Our software helps ... The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ...

Teledyne

Data Scientist

Falls Church, VA · On-site

... defense, energy, and environment markets. Teledyne Brown has expertise in systems integration ... We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to ...

SANTEE COOPER

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments. Compensation Information: $84,180 - $105,210 (min. - mid.) Data Scientist III * Bachelor's Degree in Computer ...

UL Solutions

Data Scientist

Northbrook, IL · On-site

The Data Scientist is responsible for delivering data-driven insights and analytical solutions that ... As a member of our safety science community, you'll use your ideas, your energy and your ambition ...

Arch

Data Scientist

San Francisco, CA · On-site

We're driving energy resilience, economic strength, and long-term prosperity by bringing AI ... Role Overview We're hiring a Data Scientist to help architect the intelligence layer of Arch . You ...

Unchain Data

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

At Kalshi, Data Scientists sit at the center of the company and are embedded across Product ... Self-starter energy with the ability to thrive in fast-paced and ambiguous environments NYC Pay ...

New

EVgo

Data Scientist

EVgo is one of the nation's largest public fast charging networks for electric vehicles, committed to sustainability and clean energy solutions. They are looking for a Data Scientist to identify and ...

Amivero

Data Scientist

Columbia, MD · On-site

... energy for solutioning, and your bias towards action to bring modernization to very important ... The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ...

Amivero

Data Scientist

Columbia, MD

... energy for solutioning, and your bias towards action to bring modernization to very important ... The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ...

Jobtailor

Senior Data Scientist

Boston, MA · On-site

$140 - $200/hr

... energy storage systems * Deep, hands‑on understanding of BESS operation, performance ... Proficiency in Python and modern data science libraries (pandas, NumPy, scikit‑learn, TensorFlow ...

New

Amivero

Data Scientist

Camp Springs, MD · On-site

$80 - $120/hr

... energy for solutioning, and your bias towards action to bring modernization tovery important ... Must be local to the DMV area The Gist The Data Scientist is responsible for developing advanced ...

Amivero

Data Scientist

Columbia, MD

... energy for solutioning, and your bias towards action to bring modernization to very important ... The Data Scientist is responsible for developing advanced analytics, machine learning, artificial ...

Amivero LLC

Data Scientist

Camp Springs, MD · On-site

$90 - $120/hr

... energy for solutioning, and your bias towards action to bring modernization tovery important ... Must be local to the DMV area The Gist The Data Scientist is responsible for developing advanced ...

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Showing results 41-60

All JobsWeekday Data Scientist Energy Jobs

Weekday Data Scientist Energy information

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How much do weekday data scientist energy jobs pay per year?

As of Aug 7, 2026, the average yearly pay for weekday data scientist energy in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a weekday data scientist in the energy sector?

To thrive as a Weekday Data Scientist in the energy sector, you need a strong background in statistics, data analysis, and programming (often with Python or R), generally supported by a degree in data science, engineering, or a related field. Familiarity with machine learning frameworks, big data tools (such as Hadoop or Spark), and energy-specific data platforms is typically required. Excellent problem-solving abilities, communication skills, and business acumen help you translate complex data into actionable insights for stakeholders. These skills are crucial for optimizing energy operations, making data-driven decisions, and driving innovation in a rapidly evolving industry.

What does a weekday data scientist in the energy sector do?

A Weekday Data Scientist in the energy sector analyzes energy data to help organizations make informed decisions about energy production, consumption, and efficiency. They typically work regular weekday hours, focusing on tasks such as building predictive models, optimizing energy usage, and identifying trends in large datasets. Their work supports utilities, renewable energy companies, and other stakeholders in reducing costs, improving sustainability, and meeting regulatory requirements.

What are some common challenges a weekday data scientist faces when working in the energy sector?

Data Scientists in the energy sector often work with large, complex datasets from sources like smart meters, sensors, and market data. One common challenge is ensuring data quality and consistency, as energy data can be incomplete or contain anomalies. Additionally, weekday roles frequently involve tight deadlines to deliver insights that support operational decisions and regulatory reporting. Collaboration with engineers and analysts is essential to understand technical constraints and align modeling efforts with business goals. Staying updated on evolving energy policies and integrating new technologies can also be demanding but presents opportunities for impactful, innovative work.
What cities are hiring for Weekday Data Scientist Energy jobs? Cities with the most Weekday Data Scientist Energy job openings:
What are the most commonly searched types of Data Scientist Energy jobs? The most popular types of Data Scientist Energy jobs are:
What states have the most Weekday Data Scientist Energy jobs? States with the most job openings for Weekday Data Scientist Energy jobs include:
Weekday Data Scientist Energy jobs near you

Nuclear Data Scientist

Idaho National Laboratory

Idaho Falls, ID • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Idaho National Laboratory rating

8.8

Company rating: 8.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

16th of 120 rated laboratories

Job description


At Idaho National Laboratory (INL), you will help advance the Genesis Mission-a strategic collaboration between INL and the U.S. Department of Energy to accelerate the application of artificial intelligence, advanced computing, and scientific innovation to solve the nation's most complex energy, national security, and critical infrastructure challenges. As part of a multidisciplinary research team, you will analyze complex data and develop innovative computational solutions across cloud, on-premises, and edge computing environments.
You will apply emerging technologies, including explainable artificial intelligence (XAI), large language models (LLMs), retrieval-augmented generation (RAG), and physics-informed machine learning to support cutting-edge research and mission objectives. This role includes developing advanced software solutions, visualization tools, and scalable analytics while collaborating with scientists, engineers, government agencies, academia, and industry partners to deliver impactful research outcomes. Successful candidates will contribute to technical publications, strengthen INL's leadership in AI-enabled scientific discovery, and support DOE's vision for the future of national laboratory research through the Genesis initiative.
Essential Job Functions and Responsibilities:
  • Contribute to the DOE-INL Genesis initiative by developing innovative AI, machine learning, and advanced computing capabilities that accelerate scientific discovery and enable transformational solutions for national energy, security, and critical infrastructure challenges.
  • Analyze complex data and generate actionable insights in response to data analytics, visualization, modeling, and simulation needs across cloud, on-premises, and edge-based computational environments.
  • Design, develop, and apply advanced technologies including Explainable Artificial Intelligence (XAI), Machine Learning (ML), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), physics-informed machine learning, systems performance analysis, and data sensor fusion methodologies.
  • Collaborate with multidisciplinary teams of scientists, engineers, software developers, and subject matter experts to solve complex research and engineering problems.
  • Partner with DOE sponsors, other national laboratories, government agencies, universities, and industry collaborators to advance research objectives and deliver mission-focused solutions.
  • Publish research findings in peer-reviewed journals, technical reports, and conference proceedings while contributing to INL's national leadership in AI-enabled research.
  • Support the development and execution of cross-cutting technical programs that address strategic priorities for multiple DOE and federal customers.
  • Develop, test, deploy, and maintain research software, data processing pipelines, notebooks, and applications supporting scientific computing and data analytics.
  • Design and implement custom software solutions, including 3D visualization tools, parallel computing applications, batch automation, web APIs, and scalable data services.
  • Collaborate with software engineers and database developers to develop, test, and deploy software across development, staging, and production environments using modern software engineering practices.
  • Evaluate data quality, identify and communicate data integrity issues, and develop repeatable data processing workflows that ensure accurate and reliable analyses.
  • Work closely with domain experts to understand scientific questions, identify critical data features, develop analytical methodologies, and design meaningful performance metrics that characterize complex system behavior.
  • Apply state-of-the-art data science, AI, modeling, and computational techniques to support INL's mission of ensuring the nation's safe, secure, resilient, and sustainable use of engineered systems.
  • Follow INL software engineering standards, cybersecurity requirements, configuration management practices, and policies governing sensitive information and research data.
  • Collaborate with data providers, database administrators, and software developers to rapidly diagnose and resolve data, infrastructure, and software issues.

Required:
  • Levels 2: Master's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Autonomy, or a closely related technical discipline with 0 years of relevant experience.
  • Level 3: Master's degree in Data Science, Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Autonomy, or a closely related technical discipline and 2 or more years of relevant experience; or a Ph.D. in one of the above disciplines and 2 or more years of relevant experience.
  • Experience in data science, data analysis, and software development using Python, C#, Java, or C++.
  • Experience developing AI-enabled applications, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, and Python/GitHub collaborative development environments.
  • Ability to obtain and maintain a DOE level "Q" security clearance, which requires US Citizenship.

The ideal candidate will possess:
  • Cloud computing platforms and cloud-native analytics (AWS, Microsoft Azure, Google Cloud Platform, or similar).
  • Scientific computing frameworks such as SciPy, NumPy, Jupyter Notebook, PyTorch, TensorFlow, CUDA, and related AI/ML libraries.
  • Natural language processing, graph databases, knowledge graphs, vector databases, and modern data management architectures.
  • High-performance computing (HPC), distributed computing, and parallel programming.
  • AI model evaluation, explain ability techniques, and physics-informed machine learning.
  • Research software development supporting scientific computing and advanced data analytics.
  • Developing solutions that support DOE mission areas, including energy systems, nuclear science, critical infrastructure, cybersecurity, or national security research.

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:
Idaho National Laboratory is hiring a Nuclear Research Data Scientist to work on our Computational Science team. Our team works a 9x80 schedule located out of our REC or our Salt Lake City facility with every other Friday off.
  • The pay range for this position is: Level 2 ($79,344 - $162,732) / Level 3 ($95,256 - $195,288). 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.
  • 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.

About Us
Benefits and Relocation
  • Medical, Dental, Vision, and Flexible Spending Accounts
  • 401(k) with a 4.2% employer contribution and up to 4.8% match (regular positions) or self-contribute access (postdoctoral positions)
  • Paid time off (personal leave)
  • Employee Education Program (tuition assistance for eligible positions)
  • Comprehensive Relocation Package
  • Benefit eligibility subject to multiple factors, including employment status and position classification.

At this time, BEA will not sponsor any H1-B visas obtained outside of the United States of America (U.S.A.), including consular visas.
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 6,300 scientists, researchers, and support staff, the laboratory works with national and international governments, universities and industry partners to change the world's energy future and secure our nation's 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 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.

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About Idaho National Laboratory

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Idaho National Laboratory is a leading multi-disciplinary national laboratory dedicated to supporting the U.S. Department of Energy's missions in nuclear and energy research, science, and national defence. Located in Idaho Falls, ID, US, it operates under the management of Battelle Energy Alliance. Since its inception in 1949, the lab has remained at the forefront of nuclear energy innovations and advancements, providing critical scientific and technological inputs to support national priorities. Guided by its commitment to excellence, innovative research, collaborative partnerships, and integrity, the lab continues to play a vital role in driving America's nuclear and energy future.

Industry

Scientific research and development services

Company size

5,001 - 10,000 Employees

Headquarters location

Idaho Falls, ID, US

Year founded

1949

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