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Power Systems Data Science Jobs (NOW HIRING)

ETAP

Power Systems Engineer

Irvine, CA · On-site

Irvine, CA Job Type: Full-time / Hybrid Position Summary ETAP is seeking a Power System Engineer to expand our capabilities in the Data Exchange Department. The ideal candidate would be an ...

Aveva

Power Systems Engineer

Irvine, CA · On-site

Irvine, CA Job Type: Full-time / Hybrid Position Summary ETAP is seeking a Power System Engineer to expand our capabilities in the Data Exchange Department. The ideal candidate would be an ...

Rent The Runway

Manager, Data Science

Manhattan, NY · On-site

The Data Science team develops machine learning solutions, recommendation systems, experimentation frameworks, and AI-powered capabilities that directly influence how customers discover, engage with ...

Momentus Space LLC

Power Systems Engineer

San Jose, CA

$140K - $195K/yr

JOB SUMMARY We are seeking a Power Systems Engineer to develop, implement, and maintain advanced ... This position requires access to export-controlled commodities, technical data, technology ...

Momentus Space LLC

Power Systems Engineer

San Jose, CA · On-site

$140K - $195K/yr

JOB SUMMARY We are seeking a Power Systems Engineer to develop, implement, and maintain advanced ... This position requires access to export-controlled commodities, technical data, technology ...

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Power Systems Data Science information

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$46K

$112K

$197K

How much do power systems data science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for power systems data science in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is power systems data science?

Power Systems Data Science is a specialized field that applies data analysis, machine learning, and statistical methods to the operation, planning, and optimization of electrical power systems. Professionals in this area work with large volumes of data from sources such as smart grids, sensors, and control systems to enhance grid reliability, forecast demand, integrate renewable energy, and improve decision-making. Their work supports utilities, grid operators, and energy companies in addressing the complex challenges of modern energy systems.

What are the key skills and qualifications needed to thrive as a power systems data scientist?

To thrive as a Power Systems Data Scientist, you need a solid background in electrical engineering or a related field, strong programming skills (such as Python or R), and expertise in data analysis and machine learning. Familiarity with power system simulation tools (like PSS®E or PowerWorld), statistical software, and big data platforms is typically required, along with relevant certifications or advanced degrees. Strong problem-solving abilities, effective communication, and collaboration skills are essential for translating complex technical findings into actionable insights for diverse stakeholders. These competencies are crucial for optimizing energy systems, enhancing operational efficiency, and supporting data-driven decision-making in the evolving power sector.

How do power systems data scientists typically collaborate with engineers and grid operators?

Power Systems Data Scientists work closely with engineers and grid operators to analyze complex datasets from electrical grids, identify patterns, and develop predictive models for grid stability and efficiency. Regular collaboration includes sharing insights on equipment performance, forecasting energy demand, and implementing data-driven solutions to operational challenges. Effective communication and teamwork are essential, as data scientists must translate analytical findings into actionable recommendations for technical and non-technical stakeholders. This collaborative environment fosters a deeper understanding of system behavior and supports the continuous improvement of power grid operations.

What are popular job titles related to Power Systems Data Science jobs?

For Power Systems Data Science jobs, the most frequently searched job titles are:

Infographic showing various Power Systems Data Science job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Data Scientist

Tampa, FL • On-site

Science Applications International Corporation
IT Services • 10K+ employees
Learn more about Science Applications International Corporationexternal

Full-time

Re-posted 4 days ago

SAIC rating

7.6

Company rating: 7.6 out of 10

Based on 81 frontline employees who took The Breakroom Quiz

103rd of 226 rated it services

Job description

SAIC is seeking an experienced TS/SCI cleared Data Science & Analytics Technical Lead to drive the strategic integration of advanced analytics capabilities across the SOCOM Special Operations Forces (SOF) Enterprise. This leadership role focuses on applying cutting-edge scientific methods, algorithms, and systems to leverage vast quantities of structured and unstructured data. The ultimate goal is to transform complex data into actionable intelligence and critical knowledge for SOCOM Headquarters (HQ) staff, Service Components, and Theater Special Operations Commands (TSOCs).

Work is performed on site in: Tampa, FL.

The position primarily supports SOCOM Headquarters and associated SOF Service Components and TSOCs.

The ideal candidate will have a robust background in SOF analytical support and digital capabilities, coupled with leadership experience in managing distributed data support teams within a multi-echelon, high-paced operational environment.

The Data Science & Analytics Technical Lead will be responsible for:

  • Driving the strategic integration of advanced analytics and data science solutions within the SOF Enterprise.
  • Utilizing scientific methods, advanced algorithms, and analytical systems to develop actionable insights from structured and unstructured data.
  • Providing critical data support to HQ staff, SOF Service Components, and TSOCs to enhance decision-making and situational awareness.
  • Acting as the primary technical and strategic resource for implementing digital capabilities across the SOF Enterprise.
  • Leading and overseeing geographically distributed data support teams, providing central management and synchronization with SOF operational priorities.
  • Collaborating with SOF HQ elements, Service Components, and TSOCs to analyze digital data and operational requirements.
  • Proven ability to lead and deliver transformative data science and analytics solutions in mission-critical environments.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Education and Years of Experience:

  • Bachelors degree with fifteen (15) years of experience or Masters Degree with twelve (12) years of experience.

Required Special Operations Forces (SOF) Enterprise Knowledge & Experience:

  • Five (5) years of experience working in SOF analytical support.
  • Three (3) years experience centrally managing distributed data support teams in SOF organizations HQ echelon.
  • Three (3) years experience with SOF digital capabilities.
  • Three (3) experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Commands.

Required Clearance:

  • Active TS/SCI clearance.

Additional Required Skills and Attributes:

  • Expertise in applying advanced analytics, artificial intelligence (AI), and machine learning (ML) methodologies to extract actionable insights from complex datasets.
  • Strong understanding of SOF operational processes and mission-essential priorities.
  • Proven track record in managing distributed teams and delivering results in dynamic mission environments.
  • Experience implementing digital transformation strategies tailored for the SOF Enterprise.
  • Strong leadership, communication, and interpersonal skills.

Travel Requirements:

  • This role may require periodic travel to support coordination with SOF HQ elements, Service Components, and TSOCs.

Desired Qualifications:

Experience in SOF Analytical Support:

  • Five (5) years of experience providing analytical support within the SOF enterprise environment.

Leadership Experience:

  • Three (3) years of experience managing and leading distributed data support teams in SOF organizations at the HQ echelon level.

SOF Digital Capabilities Experience:

  • Three (3) years of experience with SOF digital systems, data processing platforms, and advanced data-driven decision-making tools.

SOF Enterprise Expertise:

  • Three (3) years of experience working with SOF HQ elements, Service Component HQs, and Theater Special Operations Commands (TSOCs).
  • PMP.

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