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Data Scientist Electrical Engineer Jobs in Silver Spring, MD

Apogee Integration, Llc

Data Scientist

Chantilly, VA

$109K - $200K/yr

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

Apogee Integration, Llc

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 ...

Cymertek

Data Scientist / Software Engineer

Reston, VA · On-site

Data Scientist / Software Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please ... Science, Electrical Engineering, Machine Learning, ect. ALTERNATE EXPERIENCE General comment on ...

Cymertek

Data Scientist / Software Engineer

Tysons, VA · On-site

Data Scientist / Software Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please ... Science, Electrical Engineering, Machine Learning, ect. ALTERNATE EXPERIENCE General comment on ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site

Work with our engineering team to turn prototypes into scalable production-level software * Work on ... Experiment with a range of data science techniques to produce insight, including machine learning ...

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May conduct and/or support data engineering and data management. May assist with the selection of ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

Work with our engineering team to turn prototypes into scalable production-level software * Work on ... Experiment with a range of data science techniques to produce insight, including machine learning ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

A Data Scientist represents an effective arbiter of strong technical knowledge and clear ... May conduct and/or support data engineering and data management. May assist with the selection of ...

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All JobsData Scientist Electrical Engineer JobsData Scientist Electrical Engineer Jobs in Silver Spring, MD

Data Scientist Electrical Engineer information

See Silver Spring, MD salary details

$47.6K

$170.6K

$251.7K

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

As of Jul 31, 2026, the average yearly pay for data scientist electrical engineer in Silver Spring, MD is $170,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,000.00 and $175,700.00 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.
What are popular job titles related to Data Scientist Electrical Engineer jobs in Silver Spring, MD? For Data Scientist Electrical Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Scientist Electrical Engineer jobs in Silver Spring, MD look for? The top searched job categories for Data Scientist Electrical Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Scientist Electrical Engineer jobs? Cities near Silver Spring, MD with the most Data Scientist Electrical Engineer job openings:
Data Scientist Electrical Engineer jobs near you

Senior Data Scientist / Machine Learning Engineer

Waypoint Human Capital

Mclean, VA

Full-time

Posted 9 hours ago

Posted today

Job description

Position Title: Senior Data Scientist / Machine Learning Engineer
Position Type: Full-Time, On-Site
Position Location: Tysons, VA
Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph
Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team. The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation.
This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making. They will contribute to new analytics capabilities and assist customers in building their own applications. This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills. An active TS/SCI with CI Polygraph or Full Scope Polygraph is required.
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.

Required
  • Active Top Secret clearance with CI Polygraph or Full Scope Polygraph.
  • 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 5–10 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 Machine Learning (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 skills.
  • Passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering, and exciting environment.
  • Ability to collaborate across multiple functional teams to improve scalability.
  • Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences.
  • Ability to work on multiple concurrent projects.
  • Strong self-motivation and the ability to work with minimal supervision.
  • Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines.
  • Ability to work in an Agile environment.

Desired
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
  • Experience with deep learning.
  • Experience with natural language processing (NLP).
  • Experience with computer vision.
  • Experience with reinforcement learning.