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Data Scientist Electrical Engineer Jobs in Raleigh, NC

Data Scientist

Cary, NC · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field. * 8+ years of overall experience in AI/ML engineering and/or data science. * 5+ years of ...

JOB SUMMARY As a Senior Data Scientist 5, you will join a team of other talented Data Scientists and Machine Learning Engineers - with a goal to convert as a true Lead. For the contract duration, you ...

Lead Electrical Engineer

Cary, NC · On-site

$148K - $154K/yr

... sciences industries Strongly motivated, well organized, and shows professional initiative Takes ... data center, and solar) industries. DPS is dedicated to delivering successful projects with a ...

Lead Electrical Engineer

Cary, NC · On-site

$148K - $154K/yr

... Life sciences industries * Strongly motivated, well organized, and shows professional initiative ... data center, and solar) industries. DPS is dedicated to delivering successful projects with a ...

Senior Electrical Engineer

Cary, NC · On-site

$99K - $129K/yr

... Life Sciences industries. Key Responsibilities Strong understanding of engineering lifecycle ... data center, and solar) industries. DPS is dedicated to delivering successful projects with a ...

The Electrical Engineer is responsible for the design, analysis, and development of electrical ... sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great ...

Senior Electrical Engineer

Cary, NC · On-site

$99K - $129K/yr

... Life Sciences industries. Key Responsibilities * Strong understanding of engineering lifecycle ... data center, and solar) industries. DPS is dedicated to delivering successful projects with a ...

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

Embedded Data Scientist Full-time Morrisville, NC, US Exclusive confidential search -- details ... You will work closely with researchers and engineering teams to compress, characterize, and deploy ...

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

The role is a technical peer to the Lead Data Engineer and provides succession depth for senior data science work.***This is a hybrid position located in Durham, NC, with the expectation of regular ...

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model ... Data Science, or a related quantitative field. * 3+ years of experience (with Bachelor's), 2+ years ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science solutions through automation and continuous delivery. * Implement monitoring for data science solutions ...

Senior Data Scientist

Cary, NC · On-site

$140 - $200/hr

  • Medical

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Explore and engineer features from large, complex commercial banking datasets including loan ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Explore and engineer features from large, complex commercial banking datasets including loan ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead ... Explore and engineer features from large, complex commercial banking datasets including loan ...

... sciences and food and beverage industries. Our more than 1,100 employees provide best-in-class ... CRB is seeking an experienced Senior Electrical Engineer with a strong background in building and ...

... sciences and food and beverage industries. Our more than 1,100 employees provide best-in-class ... This role is ideal for a licensed electrical engineer with hands‑on experience in power ...

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Showing results 1-20

Data Scientist Electrical Engineer information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

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

As of Aug 13, 2026, the average yearly pay for data scientist electrical engineer in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 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 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 Raleigh, NC? For Data Scientist Electrical Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Scientist Electrical Engineer jobs in Raleigh, NC look for? The top searched job categories for Data Scientist Electrical Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Scientist Electrical Engineer jobs? Cities near Raleigh, NC with the most Data Scientist Electrical Engineer job openings:
Infographic showing various Data Scientist Electrical Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 4% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Data Scientist

CYNET SYSTEMS

Cary, NC • On-site

$65 - $70/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 15 days ago


Job description

Job Overview:
Pay Range: $65.00hr - $70.00hr
Requirement/Must Have:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
  • 8+ years of overall experience in AI/ML engineering and/or data science.
  • 5+ years of insurance business and/or financial industry experience with sales, marketing, and/or customer engagement analytics.
  • Proven experience designing, deploying, and operating production ML and/or GenAI solutions, including APIs, batch, and real-time inference.
  • Experience in developing Machine Learning models using Python (preferably in the cloud).
  • Familiarity with best practices for responsible AI, including data privacy, bias mitigation, and/or model monitoring.
  • Strong SQL knowledge and data analysis skills for data anomaly detection and Exploratory Data Analysis.
  • Experience with Dominos, Power BI, and/or Azure ML.
  • Strong understanding of statistics and mathematics for data analysis and prediction.
  • Ability to use predictive modeling or AI solutions to increase and optimize customer experience/communication, revenue generation, ad targeting, and other business outcomes.
  • Excellent communication and presentation skills to present results clearly and effectively by creating presentations with storytelling, visualizations, and results.
  • Strong problem-solving skills and ability to communicate effectively with stakeholders.
Responsibilities:
  • Take accountability for technical decisions, project outcomes, timelines, and production stability within a defined domain.
  • Design, train, and optimize machine learning and deep learning models for a variety of marketing and business engagement use cases.
  • Analyze complex data sets to identify trends, patterns, and actionable insights that can inform business strategies.
  • Collaborate with stakeholders and cross-functional teams to develop and implement data-driven solutions.
  • Enable seamless integration of AI capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Visualize data, create reports, and present findings to senior management and cross-functional teams.
  • Develop statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).
  • Research and stay up to date with the latest advances in AI, Data Science, and Machine Learning.
  • Optimize platform components for efficiency, scalability, and reliability using best practices in distributed computing, resource management, and cloud-native architectures.
Skills:
  • Machine Learning.
  • Artificial Intelligence.
  • Python.
  • SQL.
  • GenAI.
  • Azure ML.
  • Power BI.
  • Dominos.
  • Predictive Modeling.
  • ML-Ops.
  • Data Analysis.
  • Statistics.
Qualification And Education:
  • Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a related field.
     
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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