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Data Scientist Electrical Engineer Jobs in Raleigh, NC

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in ...

Arcadis Projects

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 ...

DPS Group

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 ...

Arcadis Projects

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 ...

DPR Construction

Electrical Engineer

Raleigh, NC

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 ...

DPS Group

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 ...

Peter Millar

Senior Data Scientist

Durham, NC · On-site

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 on ...

NextDeavor Inc.

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 ...

NextDeavor Inc.

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 ...

Belcan

Electrical Engineer

Clayton, NC · On-site

$46.26/hr

... scientific use. A typical electrical engineer has the ability to make engineering drawings, and read and interpret blueprints. Job Responsibilities: * Design, develop, and test the manufacture of ...

Belcan

Electrical Engineer

Clayton, NC · On-site

$46.26/hr

... scientific use. A typical electrical engineer has the ability to make engineering drawings, and read and interpret blueprints. Job Responsibilities: * Design, develop, and test the manufacture of ...

Belcan

Electrical Engineer

Clayton, NC · On-site

$46.26/hr

... scientific use. A typical electrical engineer has the ability to make engineering drawings, and read and interpret blueprints. Job Responsibilities: * Design, develop, and test the manufacture of ...

Insight Global

Electrical Engineer

Wendell, NC · On-site

$850K - $950K/yr

... data center, utility, semiconductor, or industrial projects This engineer will design and configure medium-voltage electrical switchgear systems (4.16kV-38kV) for customer projects. They will review ...

New

TEKsystems

Sr Data Scientist

Durham, NC

$70 - $95/hr

Top Skills' Details Data Science & Advanced Analytics - Design and develop predictive, prescriptive ... of prompt engineering, retrieval architectures, and AI-assisted business workflows. Business ...

Redhat

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 ...

TEKsystems

Sr Data Scientist

Durham, NC

$70 - $95/hr

Top Skills' Details Data Science & Advanced Analytics - Design and develop predictive, prescriptive ... of prompt engineering, retrieval architectures, and AI-assisted business workflows. Business ...

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible ... As an experienced Data Scientist you will have the ability to share new ideas and collaborate on ...

CRB

Electrical Engineer IV

Raleigh, NC · Remote

... 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 ...

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Showing results 1-20

All JobsData Scientist Electrical Engineer JobsData Scientist Electrical Engineer Jobs in Raleigh, NC

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 Jul 16, 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.

Is 40 too late for data science?

A Data Scientist or Electrical Engineer can enter data science at age 40, as the field values skills and experience over age. Many professionals successfully transition later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less a barrier than having up-to-date technical skills and a strong portfolio.

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.

Can you make $500,000 as an electrical engineer?

Electrical engineers, including those with data science skills, typically earn salaries below $500,000 annually, with top executives or specialized consultants reaching higher income levels. Achieving such a salary usually requires advanced roles, extensive experience, or working in high-paying industries like aerospace or technology, often combined with managerial responsibilities or specialized expertise. Entry-level or standard electrical engineering positions generally do not reach this income level.

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.

Can an electrical engineer work as a data scientist?

Electrical engineers can transition to data scientist roles by developing skills in programming, statistics, and machine learning, often using tools like Python, R, and SQL. Their strong analytical and problem-solving abilities are valuable, but additional training or education in data analysis and modeling is typically required.

Can data scientists make $300k?

Data scientists, including those with expertise in electrical engineering, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and big data tools, and roles in high-paying industries or senior positions. Achieving this level often requires a combination of specialized knowledge, certifications, and a strong professional network.
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:
Data Scientist Electrical Engineer jobs near you
Data Scientist

Data Scientist

Advance Auto Parts, Inc.

Raleigh, NC • On-site

Full-time

Re-posted 20 days ago

Job description

Job Description
Role Summary
We are seeking an experienced Data Scientist with strong expertise in Data Science, machine learning engineering with hands on experience in designing and deploying ML solutions in production. This role focuses on building scalable ML solutions, productionizing models, and enabling robust ML platforms for enterprise-grade deployments.
This role is a hybrid work model (4 days in office, 1 day work from home) based out of our corporate headquarters located in Raleigh, NC
Key Responsibilities
  • Build ML Models: Design and implement predictive and prescriptive models for regression, classification, and optimization problems.Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • Train and Tune Models: Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.
  • Collaboration & Communication: Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ensure successful integration of models into business processes.
  • Monitoring & Visualization: Rapidly prototype and test hypotheses to validate model approaches. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, Shapley values etc.
  • Productionize ML: Build repeatable paths from experimentation to deployment (batch, streaming, and low-latency endpoints), including feature engineering, training, evaluation,
  • Own ML Platform: Stand up and operate core platform components-model registry, feature store, experiment tracking, artifact stores, and standardized CI/CD for ML.
  • Pipeline Engineering: Author robust data/ML pipelines (orchestrated with Step Functions / Airflow / Argo) that train, validate, and release models on schedules or events.
  • Observability & Quality: Implement end-to-end monitoring, data validation, model/drift checks, and alerting SLA/SLOs.
  • Governance & Risk: Enforce model/version lineage, reproducibility, approvals, rollback plans, auditability, and cost controls aligned to enterprise policies.
  • Partner & Mentor: Collaborate with on-shore/off-shore teams; coach data scientists on packaging, testing, and performance; contribute to standards and reviews.
  • Hands-on Delivery: Prototype new patterns; troubleshoot production issues across data, model, and infrastructure layers.

Required Qualifications
  • Education: Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred.
  • Programming: 5+ years experience with Python (pandas, PySpark, scikit-learn; familiarity with PyTorch/TensorFlow helpful), bash, experience with Docker.
  • ML Experimentation: Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM).
  • ML Tooling: 5+ years experience with SageMaker (training, processing, pipelines, model registry, endpoints) or equivalents (Kubeflow, MLflow/Feast, Vertex, Databricks ML).
  • Pipelines & Orchestration: 5+ years' experience with Databricks DABS or Airflow or Step Functions, e-driven designs with EventBridge/SQS/Kinesis.
  • Cloud Foundations: 3+ years experience with AWS/Azure/GCP on various services like ECR/ECS, Lambda, API Gateway, S3, Glue/Athena/EMR, RDS/Aurora (PostgreSQL/MySQL), DynamoDB, CloudWatch, IAM, VPC, WAF. GCP experience is preferred.
  • Snowflake Foundations: Warehouses, databases, schemas, stages, Snowflake SQL, RBAC, UDF, Snowpark.
  • CI/CD: 3+ years hands-on experience with CodeBuild/Code Pipeline or GitHub Actions/GitLab; blue/green, canary, and shadow deployments for models and services.
  • Feature Pipelines: Proven experience with batch/stream pipelines, schema management, partitioning, performance tuning; parquet/iceberg best practices.
  • Testing & Monitoring: Unit/integration tests for data and models, contract tests for features, reproducible training; data drift/performance monitoring.
  • Operational Mindset: Incident response for model services, SLOs, dashboards, runbooks; strong debugging across data, model, and infra layers.
  • Soft Skills: Clear communication, collaborative mindset, and a bias to automate & document.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age national origin, religion, sexual orientation, gender identity, status as a veteran and basis of disability or any other federal, state or local protected class. We comply with all applicable federal, state, and local laws.
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Advance Auto Parts logo

About Advance Auto Parts

Sourced by ZipRecruiter

At Advance Auto Parts we have a passion for YES. Each day we are motivated by a passion to help our Customers. We have a commitment to advance the lives of our fellow Team Members, Customers, and the Communities where we live and work.

Industry

Motor vehicle and motor vehicle parts wholesalers, retail, internet and it and elementary and secondary schools

Company size

10,000+ Employees

Headquarters location

Raleigh, NC, US

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