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Data Scientist Electrical Engineer Jobs (NOW HIRING)

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

As a Data Scientist, you will bring your passion and skills in data analysis and AI/ML to design ... Candidate must possess at least a Bachelor's Degree in Electrical Engineering, Computer Engineering ...

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

Leidos has a new and exciting opportunity for a Data Scientist in our National Security Sector ... Candidate must possess at least a Bachelor's Degree in Electrical Engineering, Computer Engineering ...

Leidos has a new and exciting opportunity for a Data Scientist in our National Security Sector ... Candidate must possess at least a Bachelor's Degree in Electrical Engineering, Computer Engineering ...

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

As a Data Scientist, you will bring your passion and skills in data analysis and AI/ML to design ... Candidate must possess at least a Bachelor's Degree in Electrical Engineering, Computer Engineering ...

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations ...

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

As a Data Scientist, you will bring your passion and skills in data analysis and AI/ML to design ... Candidate must possess at least a Bachelor's Degree in Electrical Engineering, Computer Engineering ...

Data Scientist

Huntsville, AL · On-site

$69K - $125K/yr

As a Data Scientist, you will bring your passion and skills in data analysis and AI/ML to design ... Candidate must possess at least a Bachelor's Degree in Electrical Engineering, Computer Engineering ...

Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ... Demonstrates expert knowledge in data analysis methods and tools * Demonstrated strong and ...

New

C3 AI As a member of the C3 AI Data Science team , you will work with some of the largest companies ... MS or PhD in Computer Science, Electrical Engineering, Statistics, Operations Research, or a ...

Data Scientist

Chantilly, VA · On-site

$109K - $200K/yr

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations ...

... data sets. Must have knowledge of machine learning, analytical, visualization and programming ... Bachelor's or Master's degree in Petroleum Engineering, Economics, Computer Science, Electrical ...

Bachelor's or Master's degree in Petroleum Engineering, Economics, Computer Science, Electrical ... Experience creating data visualizations preferred * Participate in and manage multiple projects ...

New

Data Scientist

Queens, NY · On-site

$126K/yr

Undergraduate degree or certificate in Data Science, Mathematics, Applied Mathematics, Statistics, Applied Statistics, Computer Science, Computer Engineering, Electrical Engineering, Physics, or a ...

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Data Scientist Electrical Engineer information

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$46K

$165K

$243.5K

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

As of Jul 22, 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.

Is 40 too late for data science?

A Data Scientist or Electrical Engineer can enter data science at age 40, as the field values skills and experience over age. Many professionals successfully transition later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less a barrier than having up-to-date technical skills and a strong portfolio.

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.

Can you make $500,000 as an electrical engineer?

Electrical engineers, including those with data science skills, typically earn salaries below $500,000 annually, with top executives or specialized consultants reaching higher income levels. Achieving such a salary usually requires advanced roles, extensive experience, or working in high-paying industries like aerospace or technology, often combined with managerial responsibilities or specialized expertise. Entry-level or standard electrical engineering positions generally do not reach this income level.

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.

Can an electrical engineer work as a data scientist?

Electrical engineers can transition to data scientist roles by developing skills in programming, statistics, and machine learning, often using tools like Python, R, and SQL. Their strong analytical and problem-solving abilities are valuable, but additional training or education in data analysis and modeling is typically required.

Can data scientists make $300k?

Data scientists, including those with expertise in electrical engineering, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior positions. Achieving this level often requires a combination of specialized knowledge, certifications, and a strong professional network.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Scientist, Electrical Engineer Digital Hardware Design

L3HHCM20

Salt Lake City, UT

Other

Re-posted 29 days ago


Job description

Job Title: Scientist, Electrical Engineer (Digital Hardware Design)

Job Code: 38126

Job Location: Salt Lake City, Utah

Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off

L3Harris is seeking a motivated Senior Hardware Engineer to design and deliver advanced, mission-critical digital circuit technology for military communications systems, including software-defined radio applications.

In this role, you will serve as a senior technical contributor, helping develop innovative digital hardware solutions for special operations and intelligence customers. You will work on complex national security challenges across areas such as threat deterrence, signals intelligence, cyber operations, machine learning, image processing, and data analytics. This position is part of a multidisciplinary team that values collaboration, innovation, and technical excellence.

Essential Functions

  • Provide hands-on technical expertise for digital hardware in communications systems programs.
  • Support the development of innovative electrical engineering solutions aligned with business objectives.
  • Develop circuit designs, requirements, design documentation, verification plans, procedures, and customer deliverables to meet program schedules.
  • Lead and support cross-functional teams in system architecture, design, root cause analysis, and issue resolution.
  • Design custom circuit card assemblies using FPGAs, embedded processors, networking components, and other electronics for challenging environmental conditions.
  • Apply knowledge of industry-standard interfaces such as 10GE, 40GE, 100GE, 10/100/1000BASE-T, SPI, UART, SDRAM, DDR3, DDR4, JESD, and PCIe.
  • Perform schematic capture, simulation, analysis, PCB layout, and hardware testing.
  • Contribute to algorithm development, implementation, system architecture, verification, and testing, with emphasis on military requirements.
  • Support proposal efforts through technical baseline reviews and engineering input.
  • Collaborate regularly with program leadership and cross-functional teams including software, systems, mechanical, and test engineering.
  • Participate in customer and program technical reviews and provide status updates on assigned work.
  • Travel up to 5% as required.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or Electrical Engineering with 12 years of relevant experience;  Graduate degree with 10 years of related experience.  In lieu of a degree, 16 years of related experience.
  • Active DoD Secret Security Clearance.

Preferred Additional Skills

  • Strong foundation in communications theory and electronic warfare.
  • Ability to work independently or lead multidisciplinary teams in the development of communications systems and assemblies.
  • Minimum of 8 years of circuit card assembly (CCA) and hardware design experience.
  • Proficiency with Xilinx, Altera, or similar FPGA tools, and Siemens EDA (Mentor Graphics).
  • Experience with high-speed communications and I/O design, including networking and isolation requirements.
  • Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, receivers, signal generators, BERTs, TDR, and similar test equipment.
  • Knowledge of industry trends and emerging technologies, with the ability to support roadmaps that improve capability while reducing cost, size, weight, and power.
  • Minimum of 4 years of experience in hardware verification, schematic capture, and PCB layout.
  • Familiarity with version control tools such as Git or ClearCase.
  • Familiarity with product lifecycle management tools such as Teamcenter.
  • Familiarity with Confluence or similar collaboration tools.

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