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Data Science Engineer Jobs in North Carolina (NOW HIRING)

Data Scientist

Cary, NC · On-site

$65 - $70/hr

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 ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... programming concepts) and graduate level courses at the 500 level. Instructors will join a ...

The Data Science and AI Academy's goal is to network and catalyze data science across all three ... programming concepts) and graduate level courses at the 500 level. Instructors will join a ...

Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.

Data Scientist

Cary, NC · On-site

$85.79 - $97.27/hr

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.* 8+ years of experience in Data Science, Machine Learning ...

... engineers to align solutions with user needs. • Mentor team members and provide technical leadership in data science and AI. Required Qualifications: • 7-10+ years of data science experience ...

Showing results 21-40

Data Science Engineer information

See North Carolina salary details

$40.4K

$117.9K

$161.3K

How much do data science engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data science engineer in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are the most commonly searched types of Data Science Engineer jobs in North Carolina?

The most popular types of Data Science Engineer jobs in North Carolina are:

What are popular job titles related to Data Science Engineer jobs in North Carolina?

For Data Science Engineer jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in North Carolina look for?

The top searched job categories for Data Science Engineer jobs in North Carolina are:

What cities in North Carolina are hiring for Data Science Engineer jobs?

Cities in North Carolina with the most Data Science Engineer job openings:

Infographic showing various Data Science Engineer job openings in North Carolina as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $117,886 per year, or $56.7 per hour.

$130K - $163K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Job description

Are you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable asset and we seek to identify, attract and recruit the most qualified talent while recognizing and encouraging the value of diversity in the global workplace.

About the role:

As a Manager - Data Science, you will lead an international team. This team consists of data scientists and machine learning practitioners responsible for developing, experimenting with, deploying, and benchmarking AI/ML models. Additionally, they will work on prompt-engineered solutions embedded into Westinghouse digital products. You will work with Westinghouse leaders to understand business and product need to support main themes such as Asset Management, Work Management, and Business Process Optimization. Identify critical skill needs and address gaps to ensure the necessary capabilities-spanning classical ML, deep learning, and generative AI-are available to help develop scalable, production-grade model solutions.

You will report to the Director, AI Data Infrastructure and work remotely.

Key Responsibilities:
  • Engage with the Digital and Innovation (D&I) leaders to promote the D&I vision. This vision drives global Westinghouse and industry modernization. To achieve this, provide input and accomplish the digital roadmap. The roadmap aims to improve the position of Westinghouse and our customers relative to safety, profitable growth, and process efficiency.
  • Assume responsibility for the success of model development, experimentation, deployment, quality assurance, and prompt engineering practices allowing Westinghouse digital solutions.

We will achieve this responsibility through:

  • Lead the data science team in developing, evaluating, and deploying AI/ML models and generative AI solutions. These solutions address customer needs across multiple use cases. Ensure models are production-ready, benchmarked against clear performance criteria, and embedded into digital solutions.
  • Train team members responsible for model deployment and monitoring in production. Establish best practices for experimentation, model validation, reproducibility, versioning, and responsible AI according to Westinghouse Information Technology and the AI Architecture team.
Qualifications:
  • A data science, machine learning, or applied AI management background leading international team members
  • Familiarity with the nuclear and energy industries
  • Experience with model development, experimentation frameworks, MLOps practices, and 3rd party AI/ML platforms and foundation models
  • B.S. degree in business management, computer science, data science, industrial engineering, statistics or equivalent
  • 10+ years of experience in business, operations or consultation services with progression and complexity
  • Microsoft Certified: Azure Data Engineer Associate helpful Microsoft Certified: Azure Database Administrator Associate helpful

We are committed to transparency and equity in all of our people practices. The base salary range for this position, which is dependent upon experience, qualifications and skills, is estimated to be $130,400 to $163,000 per year.

#LI-Remote

Why Westinghouse?

Our benefits package is tailored to meet the diverse needs of our employees, while also promoting wellness and career growth. The following are representative of what we offer:

  • Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options

  • Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members

  • 401(k) with Company Match Contributions to support employees' retirement

  • Paid Vacations and Company Holidays

  • Opportunities for Flexible Work Arrangements to promote work-life balance

  • Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers

  • Global Recognition and Service Programs to celebrate employee accomplishments and service

  • Employee Referral Program

Westinghouse Electric Company is the global nuclear energy industry's first choice for safe, clean, and efficient energy solutions. We enable our delivery of this vision by living our value system:

  • Safety and Quality

  • Integrity and Trust

  • Customer Focus and Innovation

  • Speed and Passion to Win

  • Teamwork and Accountability

While our Global Headquarters are located in Cranberry Township, PA, we have over 11,000 employees working at locations in 19 different countries. You can learn more by visiting http://www.westinghousenuclear.com.

Westinghouse is an Equal Opportunity Employer including Veterans and Individuals with Disabilities

Get connected with Westinghouse on social media: Twitter | Facebook | LinkedIn| YouTube