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Data Scientist Jobs in Raleigh, NC (NOW HIRING)

We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-scale machine learning systems. This ...

Prioritizes, scopes and manages data science projects for internal stakeholders and clients. * Mines and analyzes data to drive optimization and improvement of product development, marketing ...

We are seeking a Senior Data Scientist to lead the design and validation of AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why, leveraging ...

Data Scientist

Cary, NC Β· 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 ...

PlanIT Group, LLC is seeking a Data Scientist to identify business trends and solve problems through complex data analysis. The role involves interpreting results from multiple sources, designing and ...

Review scientific literature and emerging AI research to evaluate and incorporate advanced modeling methodologies into enterprise AI system development. * Formulate, document, and recommend data ...

Job Summary The Senior Data Scientist will leverage advanced analytical and machine learning expertise to extract insights from complex datasets and develop innovative, data-driven solutions. The ...

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. With ...

... end data science solution design, technical delivery, and measurable business outcome. 4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 5. With ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

As a Senior Data Scientist on the team, you will work closely with cross-functional teams to lead large complex data science projects from exploration to deployment. You will help build and operate ...

ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : β€’ Working closely with other ...

They are seeking a Senior Data Scientist to lead AI and machine learning model development, analyze large datasets, and mentor junior team members. Responsibilities : β€’ Working closely with other ...

Principal Data Scientist I Are you looking to develop your Data Scientist career? Would you like to be part of a team that innovates using technology? Responsibilities * Acting as a leader for ...

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Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data scientist in Raleigh, NC is $119,305.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,700.00 and $132,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Raleigh, NC?

The most popular types of Data Scientist jobs in Raleigh, NC are:

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

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

Infographic showing various Data Scientist job openings in Raleigh, NC as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 14% Part Time, and 6% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Data Scientist

Raleigh, NC β€’ On-site

Compunnel
IT ServicesΒ β€’Β 501 - 1,000 employees

Contractor

Posted 25 days ago


Job description

Job Summary:
We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-scale machine learning systems. This role focuses on building and deploying customer-facing AI products, leading RAG implementations, evaluating LLM performance, and scaling production-grade ML systems. The ideal candidate will bring 10+ years of data science experience, including at least 5 years of hands-on GenAI experience, with the intent to transition into a Lead Data Scientist role.
Key Responsibilities:
β€’ Design, develop, and deploy customer-facing Generative AI and LLM-powered products.
β€’ Build and optimize Retrieval-Augmented Generation (RAG) pipelines and semantic retrieval systems.
β€’ Develop and evaluate production-grade machine learning systems at scale.
β€’ Implement LLM evaluation frameworks, benchmarking, validation, and continuous model improvement.
β€’ Work closely with Machine Learning Engineers throughout the product development and deployment lifecycle.
β€’ Design and optimize transformer-based NLP solutions using models such as BERT, RoBERTa, and T5.
β€’ Apply advanced prompt engineering and model optimization techniques for production applications.
β€’ Analyze large datasets using distributed computing platforms such as Spark and Hadoop.
β€’ Mentor junior data scientists and provide technical leadership on AI initiatives.
β€’ Collaborate with product, engineering, and business teams to deliver scalable AI solutions.
Required Qualifications:
β€’ 10+ years of Data Science experience.
β€’ 5+ years of recent hands-on experience with Generative AI, LLMs, RAG, and Agentic AI.
β€’ Strong experience building and deploying production-grade ML systems at scale.
β€’ Strong LLM and Generative AI deployment experience, including implementation and evaluation.
β€’ Experience following the complete product deployment lifecycle, including product build, maintenance, and new feature development.
β€’ Experience working alongside Machine Learning Engineers through product deployment.
β€’ Strong Python programming skills.
β€’ Strong background in NLP and transformer-based architectures.
β€’ Experience working with large datasets and distributed computing systems such as Spark or Hadoop.
β€’ Experience with machine learning algorithms including deep learning, gradient boosting, and random forests.
β€’ Experience mentoring, training, and serving as a subject matter expert.
Preferred Qualifications:
β€’ Experience with ChatGPT, GPT-3.5, Claude, Mistral, or similar LLM platforms.
β€’ Experience transitioning into technical leadership or Lead Data Scientist responsibilities.
β€’ Experience building customer-facing AI products in enterprise environments.

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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