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Data Scientist Electrical Engineer Jobs in Silver Spring, MD

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 ...

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 ...

ECS is seeking a Data Scientist to work onsite at our Springfield, VA customer's office. ECS seeks ... Work closely with software engineers and architects to extract, transform and standardize data from ...

Collaborate with data engineers and analysts to ensure data quality and accessibility * Communicate ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

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 ...

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 ...

Engineering Team Lead - Data ScienceD.C. AreaAbout the PositionIn this role you will lead a squad ... You will work closely with our Data Scientists, architects, and product leadership to build the ...

New

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation. * Reviews and defines requirements for data science cybersecurity ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Collaborate with engineers, analysts, and stakeholders.Required Skills and ExperienceBachelor's degree in Data Science, Engineering, Mathematics, Statistics, or related field.CAP Professional or ...

Collaborate with data engineers and analysts to ensure data quality and accessibility * Communicate ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

Engineering Team Lead - Data ScienceD.C. AreaAbout the PositionIn this role you will lead a squad ... You will work closely with our Data Scientists, architects, and product leadership to build the ...

New

Collaborate with data engineers and analysts to ensure data quality and accessibility * Communicate ... Stay current with emerging data science techniques, tools, and technologies Do you have what it ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Collaborate with engineers, analysts, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Science, Engineering, Mathematics, Statistics, or related field. * CAP Professional ...

These positions are part of cross-functional teams that include Software Engineers, Product Managers, Analysts, and other technical contributors. TRSS Data Scientists build and deliver ML/AIenabled ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

The Data Scientist will contribute to the full lifecycle of model development, from data ... Perform feature engineering, dataset preparation, and model optimization to improve predictive ...

Showing results 21-40

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 Aug 21, 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.

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.

How does a data scientist electrical engineer 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 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.

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?

An electrical engineer can work as a data scientist if they acquire relevant skills such as programming in Python or R, understanding of machine learning algorithms, and data analysis techniques. Many data scientists have backgrounds in engineering, mathematics, or computer science, and transitioning often involves additional training or certification in data analytics and statistics.

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

Fuse Engineering LLC

Fort George G Meade, MD • On-site

Full-time

Re-posted 29 days ago


Job description

Description

Support for NLP project to accurately and automatically tokenize language data with spoken or written origins; develop automated solutions for the annotation of language data with parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. 

Requirements

Clearance Required

Top Secret SCI w/ Full Polygraph


Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning)  and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence).  College-level requirement, or upper-level math courses designated as elementary or basic do not count. 


Must have some combination (2 or more) of the following skill areas:  

Foundations: Mathematical, Computational, Statistical

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.