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Data Scientist Electrical Engineer Jobs in Washington

Data Scientist

Chantilly, VA · On-site

$150 - $181/hr

Title: Data Scientist Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

Data Scientist

Mclean, VA

$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 ...

Feature engineering and model evaluation * Data wrangling, integration, and transformation * Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Data Scientist

Chantilly, VA · On-site

$150K - $181K/yr

Data Scientist The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

Feature engineering and model evaluation * Data wrangling, integration, and transformation * Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Data Scientist

Chantilly, VA · On-site

$150K - $181K/yr

Data Scientist The Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer's mission by evaluating, assessing, and improving advanced analytics ...

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and ... Collaborate with cross-functional teams (engineering, product, business stakeholders) to identify ...

Data Scientist

Mclean, VA

$125K - $160K/yr

We are seeking a Data Scientist to design, build, and deliver predictive analytics, machine ... Perform feature engineering, dataset preparation, and model optimization to improve predictive ...

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 ...

Data Scientist

Silver Spring, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Data Scientist

Arlington, VA · On-site

$80 - $100/hr

As a Data Scientist , you will work directly with clients, managers, and technical staff to ... Prior computer programming experience, preferably in a language such as Python or R * Experience ...

Feature engineering and model evaluation * Data wrangling, integration, and transformation * Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Feature engineering and model evaluation * Data wrangling, integration, and transformation * Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

... engineering and data management. • May assist with the selection of appropriate analytical approaches towards automation. • Reviews and defines requirements for data science cybersecurity ...

Feature engineering and model evaluation * Data wrangling, integration, and transformation * Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Data Scientist

Glen Echo, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Feature engineering and model evaluation * Data wrangling, integration, and transformation * Python, R, SQL, and scientific computing libraries * Visualization and dashboarding tools * Model ...

Showing results 41-60

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 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

KBR, Inc

Chantilly, VA • On-site

$150 - $181/hr

Other

Posted 16 days ago


KBR rating

8.3

Company rating: 8.3 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

141st of 452 rated engineering


Job description

Title: Data Scientist

Data Scientist provides Systems Engineering and Technical Assistance (SETA) support to our customer’s mission by evaluating, assessing, and improving advanced analytics capabilities used across intelligence operations. This role focuses on reviewing existing statistical models, machine learning algorithms, and analytic methodologies to ensure they meet mission requirements, performance objectives, and operational needs. The position analyzes complex structured and unstructured datasets to assess algorithm effectiveness, identify optimization opportunities, and recommend enhancements to government stakeholders. The Data Scientist works closely with government personnel, developers, engineers, and analysts to support model validation, performance evaluation, and analytic modernization efforts. This role operates within a classified environment and contributes to the advancement of data-driven intelligence capabilities supporting national security objectives.

Roles and Responsibilities
  • Review, assess, and provide recommendations for improving existing statistical models, machine learning algorithms, and analytic workflows supporting Space and Counterspace missions.
  • Evaluate algorithm performance, accuracy, scalability, and operational effectiveness against mission requirements and customer objectives.
  • Analyze large, complex datasets from multiple intelligence and operational sources to identify trends, anomalies, and opportunities for analytic enhancement.
  • Conduct validation and verification activities to ensure analytic models and algorithms produce reliable and reproducible results.
  • Assess data quality, source integrity, and data management practices that impact algorithm performance and analytic outcomes.
  • Develop technical assessments, recommendations, and briefing materials to support government decision-making and capability improvements.
  • Support the integration and evaluation of new data sources, analytic techniques, and modeling approaches within existing mission systems.
  • Collaborate with government stakeholders, engineers, and data science teams to prioritize improvements and implement approved changes.
  • Document methodologies, evaluation criteria, findings, and recommendations to support governance, oversight, and mission continuity.
  • Ensure compliance with security, data governance, and classified environment requirements throughout all analytical activities.
Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative field.
  • 6+ years of experience in data science, advanced analytics, machine learning, algorithm evaluation, or a related technical discipline.
  • Experience evaluating, validating, testing, or improving statistical models, machine learning algorithms, or analytic methodologies.
  • Proficiency in Python, R, or similar data science programming languages and experience using associated analytical libraries and frameworks.
  • Active Top Secret clearance with Sensitive Compartmented Information (TS/SCI) access and Current Polygraph.
Preferred Qualifications
  • Experience supporting Department of Defense (DoD), Intelligence Community (IC), Space Domain Awareness (SDA), or national security missions.
  • Experience with machine learning frameworks and model evaluation tools.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Intelligence Studies, or a related field.
Basic Compensation

Basic Compensation: $$150,000 - $181,000 This range is for the Virginia area only The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience and in consideration of internal parity.

Additional Compensation
  • KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation.
  • Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.
Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow.

KBR is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

We Deliver - Together. KBR - Delivering Solutions, Changing the World. KBR brings together the best and brightest to deliver science, technology and engineering solutions that help governments and companies around the world accomplish their most critical missions and objectives. In everything we do, we are guided by our ONE KBR Values:

  • We Value Our People - We create diverse, inclusive environments in which each person can feel safe, respected and valued, and where everyone has opportunities to grow and reach their full potential.
  • We Deliver - We are uncompromising in our commitment to deliver innovative, high-quality, technology-led solutions for our customers and exceptional, sustainable value for all our stakeholders.
  • We Are People of Integrity - We value honesty, trust, courage, fairness, prudence and tenacity.
  • We Empower - We empower our people with a shared purpose, the right tools and the supportive culture they need to be proactive decision-makers, to be adaptive to change, and to succeed.
  • We Are a Team of Teams - We have a will to succeed, but we value the achievements of our team of teams over individual accomplishments.
  • Our collective focus makes us a better, stronger, more effective company.
  • We have also embedded environmental, social and governance (ESG) principles in every business operation and corporate function.
  • Not only are we committed to operating safely, sustainably and equitably, but we are also committed to using our capabilities and expertise to help our customers accomplish their sustainability goals.

Worldwide, KBR employs a diverse workforce approximately 29,000 people strong, with customers in more than 80 countries and operations in 40 countries.

At KBR, We Deliver.

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What KBR employees say

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Benefits

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About KBR

Sourced by ZipRecruiter

At KBR, we partner with government and industry clients to provide purposeful and comprehensive solutions with an emphasis on efficiency and safety. With a full portfolio of services, proprietary technologies and expertise, our employees are ready to handle projects and missions from planning and design to sustainability and maintenance. Whether at the bottom of the ocean or in outer space, our clients trust us to deliver the impossible on a daily basis.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Houston, TX, US

Year founded

1998