ZipRecruiter

Log In

1

Data Scientist Electrical Engineer Jobs in Washington

Smart Data

Data Scientist III

Chantilly, VA

$135K - $180K/yr

This role focuses on applying data science, machine learning, and data engineering techniques to advanced science and technology (S&T) mission challenges. The ideal candidate is technically curious ...

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 ...

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 ...

VTG

Data Scientist

Mclean, VA · On-site

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 ...

ECS

Data Scientist

Springfield, VA · On-site

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 ...

Pantheon Data

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 ...

Pantheon Data

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 ...

Socket.dev

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 ...

VTG

Data Scientist

Herndon, VA

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 ...

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 · On-site

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 ...

iNovex Information Systems

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is ... Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

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 ...

previous pagenext page

Showing results 21-40

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

Data Scientist Electrical Engineer information

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 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

Data Scientist

Data Computer Corporation of America

Chantilly, VA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago

Key responsibilities

  • Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.

  • Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services.

  • Translate complex analytical findings into intuitive dashboards, reports, and visualizations to support executive decision-making.

Job description

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer a strong, competitive compensation and benefits package. Visit our website at: www.dcca.com .
Data Scientist
CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Key Tasks:
  • Advanced Analytics & Modeling: Design, develop, and validate predictive models, statistical algorithms, and machine learning models to solve complex federal business and operational challenges.
  • Data Processing & Pipeline Integration: Extract, clean, and analyze large volumes of structured and unstructured data from disparate sources using ETL tools and cloud-native data services (e.g., AWS Glue, Apache Kafka).
  • Anomaly Detection & Fraud Prevention: Implement advanced algorithms (such as Isolation Forests) to detect anomalies in large transactional or operational datasets, enhancing audit efficacy and risk mitigation.
  • Data Visualization & Reporting: Translate complex analytical findings into intuitive dashboards, reports, and interactive visualizations using tools like Amazon QuickSight, Tableau, or Power BI to empower executive decision-making.
  • Cross-Functional Collaboration: Collaborate with cross-functional Agile teams, subject matter experts, and AI/ML engineers to seamlessly integrate data science models into production applications and microservices.
  • Security & Data Governance: Ensure all data handling and model deployments strictly adhere to federal data privacy regulations, HIPAA, the Privacy Act, and DoD/NIST security standards.
  • Continuous Improvement: Monitor model performance in production environments, retraining and tuning models as necessary to prevent drift and ensure sustained accuracy over time.

Required Skills:
  • Experience: Minimum of 5+ years of professional experience in data science, advanced analytics, or machine learning engineering.
  • Programming Languages: High proficiency in Python and R for data manipulation and modeling, as well as strong advanced SQL skills for complex database querying (e.g., PostgreSQL, Oracle).
  • Machine Learning Frameworks: Extensive hands-on experience with core ML and data science libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch).
  • Cloud & Big Data: Demonstrated experience operating within cloud ecosystems (AWS GovCloud preferred) and utilizing big data technologies and data lakes (e.g., AWS S3, EMR, Redshift).
  • Clearance: TS/SCI w/Poly.

Desired Skills :
  • Prior experience supporting federal government agencies (e.g., Intelligence Community) with complex data analytics.
  • Familiarity with Natural Language Processing (NLP) and Edge AI applications.
  • Experience with DevSecOps practices, CI/CD pipelines, and version control (e.g., Git) for collaborative model development (MLOps).
  • Active industry certifications (e.g., AWS Certified Data Analytics, AWS Certified Machine Learning, or equivalent).

Education/Certifications:
  • Education: Bachelor's or master's degree in data science, Statistics, Applied Mathematics, Computer Science, or related quantitative discipline.

The proposed salary range for this position in Virginia is 195,000 to 260,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

Apply