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Data Science Engineer Jobs in Raleigh, NC (NOW HIRING)

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 ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc • R- dplyr, car, caret ...

Q2 Software, Inc.

Senior Data Scientist

Cary, NC · On-site

Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization * Collaborate with engineering teams to ...

Q2

Senior Data Scientist

Cary, NC · Hybrid

Partner with product and business stakeholders to translate commercial banking problems into data science solutions, and contribute to roadmap prioritization * Collaborate with engineering teams to ...

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Showing results 41-60

All JobsData Science Engineer JobsData Science Engineer Jobs in Raleigh, NC

Data Science Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do data science engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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 popular job titles related to Data Science Engineer jobs in Raleigh, NC?

For Data Science Engineer jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Raleigh, NC look for?

The top searched job categories for Data Science Engineer jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Science Engineer jobs?

Cities near Raleigh, NC with the most Data Science Engineer job openings:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

Data Scientist - Generative AI Applications

AA2IT

Durham, NC • On-site

$52/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title : Data Scientist - Generative AI Applications
Pay Rate: $52.00/HR
Location: 2 T.W.Alexander Drive, Durham NC

We are seeking an experienced Data Scientist to join our team, focusing on the development and deployment of Generative AI (GenAI) solutions in a commercial business setting. This role involves working with advanced technologies, including vector databases, Retrieval-Augmented Generation (RAG) approaches, and building end-to-end AI pipelines to deliver actionable insights and solutions to business challenges.

Job Description :

Responsibilities :

  • Model Development: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation aimed at solving complex business problems and enhancing the decision-making process.
  • Vector Database Management: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
  • LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs).
  • NLP Techniques: Implement and experiment with cutting-edge NLP and similar techniques to enhance the capabilities and performance of our AI products.
  • Collaborate with cross-functional teams, including business units and platform/software engineers, to identify opportunities for integrating Generative AI models into production systems, ensuring scalability, reliability, and performance.
  • Stay up-to-date with the latest advancements in Generative AI and data science technologies.
  • Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.

Qualifications :

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience in developing and deploying Generative AI models in business settings.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy.
  • Solid understanding of statistical analysis and data visualization techniques.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications :

  • Experience with natural language processing (NLP) and computer vision applications.
  • Familiarity with cloud platforms such as Azure.
  • Experience in project management and leading data science initiatives.

Kindly share your resume with answers:
Q1: Which year you completed Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Q2 : How many years Proven experience in developing and deploying Generative AI models in business settings.
Q3: How many years of exp in Python, R, or similar languages.
Q4: How many years of Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy.
Q5: How far you live from 2 T.W.Alexander Drive, Durham NC and how will you commute

Apply