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Data Scientist Electrical Engineer Jobs (NOW HIRING)

Data Scientist

New York, NY · On-site

$160K - $190K/yr

We use advanced machine learning to create engineering-grade, physics enabled digital twins of ... electrical connectivity. Your work will drive product direction with high visibility, highlight ...

The Data Science TeamOur Impact Data is core to Parafin's mission to grow small businesses. Our ... engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft ...

The Data Science Team Our Impact Data is core to Parafin's mission to grow small businesses. Our ... engineering, and electrical engineering and professional experience at Robinhood, Uber, Lyft ...

Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ...

Electrical Engineer 2 Company : 4P Consulting Inc. Location : Birmingham, AL Job Type : Full-Time, ... Programming & Data Science : Experience with computer programming languages such as Python, C#, or ...

Work Experience Preferred Qualifications: · Master's degree in Computer Science, Electrical Engineering, or related field · Experience with data engineering frameworks such as Apache Hive, Apache ...

Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.) * Proficiency in SQL or other data querying language * An understanding of ...

Bachelor degree required - Data Science, Applied Mathemetics/Statistics, Electrical Engineering, Computer Science, Biomedical Engineering * 5 years of professional related experience with Machine ...

Power Electrical Engineer

Sunnyvale, CA · On-site

$100K - $130K/yr

Work Experience Preferred Qualifications: • Master's degree in Computer Science, Electrical Engineering, or related field • Experience with data engineering frameworks such as Apache Hive, Apache ...

Power Electrical Engineer

Sunnyvale, CA · On-site

$100K - $130K/yr

Master's degree in Computer Science, Electrical Engineering, or related field Experience with data engineering frameworks such as Apache Hive, Apache Airflow, , Spark SQL , or AWS S3 and EC2 ...

PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines * 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data ...

Data Scientist

Sunnyvale, CA · On-site

$184K - $210K/yr

PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines * 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data ...

Partner with Product, Engineering, Customer Success, Field Operations, and Data teams to turn ... electrical, and digital solutions for utility-scale power plants. Our comprehensive portfolio ...

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Data Scientist Electrical Engineer information

See salary details

$46K

$165K

$243.5K

How much do data scientist electrical engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data scientist electrical engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist Electrical Engineer, and why are they important?

To excel as a Data Scientist Electrical Engineer, you need a solid foundation in electrical engineering principles, statistics, and data analysis, usually supported by a degree in electrical engineering, computer science, or a related field. Proficiency in programming languages like Python or MATLAB, experience with machine learning frameworks, and familiarity with tools such as MATLAB, TensorFlow, and data visualization platforms are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across multidisciplinary teams are essential soft skills. These skills ensure that professionals can analyze complex engineering data, develop innovative solutions, and communicate insights effectively to drive technical advancements.

How do Data Scientist Electrical Engineers typically collaborate with cross-functional teams to drive successful projects?

Data Scientist Electrical Engineers often work closely with hardware engineers, software developers, and data analytics teams to develop and optimize intelligent systems. Their role involves translating raw sensor or signal data into actionable insights through advanced analytics and machine learning models. Effective collaboration requires clear communication of complex technical findings and aligning analytical approaches with engineering constraints and project goals. This teamwork is essential for ensuring that data-driven solutions are feasible, scalable, and meet both technical and business requirements.

What does a Data Scientist Electrical Engineer do?

A Data Scientist Electrical Engineer combines expertise in electrical engineering with advanced data analysis and machine learning skills. They analyze large sets of electrical data from systems such as power grids, electronic devices, or sensors to identify patterns, optimize performance, and predict failures. These professionals often work on smart grid technology, IoT applications, or improving the efficiency and reliability of electrical systems through data-driven insights. Their role bridges traditional engineering practices with modern data science techniques.

What is the difference between Data Scientist Electrical Engineer vs Electrical Engineer?

AspectData Scientist Electrical EngineerElectrical Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Data Science, or related fields; certifications like IEEE or data analytics certificationsBachelor's or Master's in Electrical Engineering; Professional Engineer (PE) license often preferred
Work EnvironmentTech companies, R&D labs, industries integrating data analysis with electrical systemsPower plants, manufacturing, construction, and infrastructure projects
Industry UsageData-driven electrical system optimization, predictive maintenance, IoT applicationsDesign, develop, and maintain electrical systems and equipment

Data Scientist Electrical Engineers combine electrical engineering expertise with data analysis skills to optimize electrical systems and develop innovative solutions. In contrast, Electrical Engineers focus on designing and maintaining electrical infrastructure. Both roles require strong technical credentials but differ in their focus on data analytics versus traditional electrical design.

More about Data Scientist Electrical Engineer jobs
What cities are hiring for Data Scientist Electrical Engineer jobs? Cities with the most Data Scientist Electrical Engineer job openings:
What states have the most Data Scientist Electrical Engineer jobs? States with the most job openings for Data Scientist Electrical Engineer jobs include:
What job categories do people searching Data Scientist Electrical Engineer jobs look for? The top searched job categories for Data Scientist Electrical Engineer jobs are:
Infographic showing various Data Scientist Electrical Engineer job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist/Machine Learning Engineer

Data Scientist/Machine Learning Engineer

CATHEXIS

Redwood City, CA • On-site

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Team CATHEXIS elevates the government contracting experience through rapid response, deep skill, and thoughtful problem-solving and communication. Our core capabilities are our top-tier program and project management, data analytics, and audit services, the backbone of which is our integrated approach to operational excellence.

You worked hard to get to where you are. You strive to make every day better than the day before. So do we. Team CATHEXIS operates with an all-in mindset. We are working together to create a company that supports our shared values and individual goals. Our values are centered around leading with integrity, owning the outcome, growing together, and moving with purpose in everything we do for our employees, customers, partners, and communities. We believe success is best when we listen and lead with empathy; model high standards of ethics to provide a rewarding candidate experience; work hard, have fun, and appreciate the strengths we all bring to the team; and empower our employees to create innovative and trusted results.

We are looking for a dynamic Data Scientist/ML Engineer to join our team. The Data Scientist/ML Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation.

We are proactively building a pipeline of qualified candidates for future opportunities that may arise. If your background aligns with our anticipated needs, a member of our Talent Acquisition team may reach out should a role become available or to proactively screen you for the role.

Responsibilities

The responsibilities include, but are not limited to:

  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Requirements

  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 2 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable ML (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication.
  • Real passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering and exciting environment.
  • Great verbal and written communication skills to collaborate multi-functionally and improve scalability.
  • Interest in committing to a fun, friendly, expansive, and intellectually stimulating environment.
  • Convey highly technical concepts and information in written form to technical and non-technical audiences.
  • The ability to work on multiple concurrent projects is essential.
  • Strong self -motivation and the ability to work with minimal supervision.
  • Must be a team-oriented individual, energetic, result & delivery oriented, with a keen interest on quality and the ability to meet deadlines.
  • Ability to work in an agile environment.
Desired Skills
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services.
  • Experience with deep learning, natural language processing, computer vision, or reinforcement learning.

Benefits

CATHEXIS offers competitive compensation packages to all eligible employees. Our goal is to provide a compensation package that reflects the value you bring to our team, is competitive with national average market rates, and promotes your financial security and personal well-being. The annual salary range for this role is $125,000 - $150,000. Please note that the salary information provided is a general guideline. CATHEXIS considers various factors in its final offer, including location, qualifications, experience, and skills.

  • Performance Bonuses
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Plan (Traditional and ROTH)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off
  • 11 Federal Holidays
  • Parental Leave
  • Commute Benefits
  • Short Term & Long Term Disability
  • Training & Development
  • Wellness Program
  • Community Outreach Initiatives

CATHEXIS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability EEO IS THE LAW. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact the Recruiting Department RecruitingTeam@cathexiscorp.com