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Data Scientist Electrical Engineer Jobs (NOW HIRING)

Apogee Integration, Llc

Data Scientist

Chantilly, VA · On-site

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

Ceribell, Inc

Data Scientist

Sunnyvale, CA

PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines * 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data ...

Cloud BC Labs

Power Electrical Engineer

Sunnyvale, CA · On-site

Master's degree in Computer Science, Electrical Engineering, or related field Experience with data engineering frameworks such as Apache Hive, Apache Airflow, , Spark SQL , or AWS S3 and EC2 ...

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years Exp ... Master's Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a ...

Redhorse Corporation

Data Scientist

Tampa, FL · On-site

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny

Bridge Tech

Data Scientist Opportunity

Boston, MA

The Data Science team is responsible for managing all data analytics, reporting and algorithmic ... D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other ...

Bridge Tech

Data Scientist Opportunity

Boston, MA · On-site

The data science team is an integral part of every function in the life cycle of the company to ... D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other ...

Quest Global

Power Electrical Engineer

Sunnyvale, CA · On-site

$110K - $125K/yr

Master's degree in Computer Science, Electrical Engineering, or related field * Experience with data engineering frameworks such as Apache Hive, Apache Airflow, , Spark SQL , or AWS S3 and EC2

Redhorse Corporation

Data Scientist

Tampa, FL

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny

Redhorse Corporation

Data Scientist

Tampa, FL

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny

Core One

Data Scientist

Tampa, FL · On-site

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Electrical Engineering, or a related technical discipline; Master's degree or PhD preferred. * Minimum of 5 years of ...

Redhorse Corporation

Data Scientist

Tampa, FL · On-site

Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering ... Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny

Core One

Data Scientist

Tampa, FL · On-site

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Electrical Engineering, or a related technical discipline; Master's degree or PhD preferred. * Minimum of 5 years of ...

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All JobsData Scientist Electrical Engineer Jobs

Data Scientist Electrical Engineer information

See salary details

$46K

$165K

$243.5K

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

As of Jun 29, 2026, the average yearly pay for data scientist electrical engineer in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 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.

More about Data Scientist Electrical Engineer jobs
What cities are hiring for Data Scientist Electrical Engineer jobs? Cities with the most Data Scientist Electrical Engineer job openings:
What states have the most Data Scientist Electrical Engineer jobs? States with the most job openings for Data Scientist Electrical Engineer jobs include:
What job categories do people searching Data Scientist Electrical Engineer jobs look for? The top searched job categories for Data Scientist Electrical Engineer jobs are:
Data Scientist Electrical Engineer jobs near you
Infographic showing various Data Scientist Electrical Engineer job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Apogee Integration, Llc

Chantilly, VA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Key responsibilities

  • Assemble large, complex sets of data to meet functional and other requirements.

  • Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings.

  • Design, build, test, maintain, and automate data collection and pipelines to optimize data delivery and automate manual processes.

Job description

Security Clearance: Active TS/SCI with FS Polygraph required
Position
Seeking a Data Scientist to support an Intelligence Client.
What You'll Do
  • Assemble large, complex sets of data to meet functional and other requirements
  • Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
  • Construct and perform complex database search queries in multiple databases using SQL and API interfaces
  • Curate and maintain data stores in support of metrics and evaluation
  • Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
  • Communicate and/or present product insights to technical and non-technical individuals

Required
  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
  • Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
  • Proficiency using mathematical, statistical, or other data-driven analysis
  • Proficiency with APIs; both development/update of internal APIs and use of external APIs
  • Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
  • Experience in applying qualitative and quantitative data analysis methods to analytics problems
  • Critical thinking and problem-solving skills for datasets which are unstructured
  • Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
  • Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
  • Proficiency working independently or as a member of a team to research, organize, and analyze information
  • Must have strong interpersonal and communication skills

Desired
  • Experience with transforming, manipulating, and combining data using a programming language, such as Python
  • Experience with using git, or similar version control systems
  • Experience with extract, transform and load (ETL) development for data ingest pipelines
  • Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
  • Experience with CI/CD pipelines
  • Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
  • Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsor's data handling procedures
  • Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience
  • M.S. or PhD in a quantitative or STEM related major
  • Experience with large scale ETL from multiple sources
  • Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
  • Experience with Docker or containers
  • Experience with Databricks
  • Experience with Graph Databases (e.g. Neo4j, Neptune)
  • Experience with Graph Analytics
  • Experience with Kubernetes
  • Experience with Spark
  • Experience programming with distributed computing
  • Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

What You'll Love About Apogee
  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Fixed & Floating Holidays
  • Medical, Dental, Vision
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts
  • Life Insurance, Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)

Apogee's Mission
  • Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer

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