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Data Scientist Electrical Engineer Jobs in Washington

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 ...

Socket.dev

Data Scientist

Fort George G Meade, MD · On-site

$132.75 - $197.20/hr

It encompasses AI Engineering, Data Engineering, ML Ops Engineering, and Human Perception and Cognition Engineering in addition to the traditional applications of data science. Data science is ...

Sphinx LLC

Data Scientist

Quantico, VA · Remote

$150K - $225K/yr

Data Scientist Sphinx Data Scientists provide an array of data analytics, engineering, mining, and development solutions. They leverage predictive analysis, statistical analysis, and other scientific ...

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 ...

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All JobsData Scientist Electrical Engineer JobsData Scientist Electrical Engineer Jobs in Washington

Data Scientist Electrical Engineer information

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 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 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?

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 Washington? For Data Scientist Electrical Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Scientist Electrical Engineer jobs in Washington look for? The top searched job categories for Data Scientist Electrical Engineer jobs in Washington are:
What cities in Washington are hiring for Data Scientist Electrical Engineer jobs? Cities in Washington 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 10 days ago

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.