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Data Scientist Machine Learning Jobs in Raleigh, NC

Covar

Machine Learning Engineer

Durham, NC · On-site

You will work with data, develop algorithms, evaluate results, and write the production code that ... S. or Ph.D in engineering, math, computer science, or related field * Excellent technical ...

Varsity Tutors

Machine Learning Tutor

Raleigh, NC · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Durham, NC · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Chapel Hill, NC · Remote

$40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Vadum Inc.

Machine Learning Engineer

Raleigh, NC · On-site

... data deliverables. Responsibilities : • Design, prototype, and implement machine learning ... Qualifications : Required : • Bachelor's degree or higher in Computer Science, Computer ...

Vadum, Inc.

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of ... Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Process, transform, visualize, and analyze data to guide the design and training processes of ... Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required ...

Vadum Inc

Machine Learning Engineer

Raleigh, NC · On-site

Process, transform, visualize, and analyze data to guide the design and training processes of ... Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required ...

CoVar

Machine Learning Engineer

Durham, NC

You will work with data, develop algorithms, evaluate results, and write the production code that ... S. or Ph.D in engineering, math, computer science, or related field * Excellent technical ...

Vadum

Machine Learning Engineer

Raleigh, NC · On-site

$96K - $137K/yr

Process, transform, visualize, and analyze data to guide the design and training processes of ... Bachelor's degree or higher in Computer Science, Computer Engineering or a related field required ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Experience applying machine learning in real-world business settings Skills: * Strong problem ...

LexisNexis

Manager, Data Science - Agentic AI

Raleigh, NC · On-site

$115.40K - $192.30K/yr

Staying current with the latest AI and machine learning trends and technologies * Mentoring junior data scientists and provide guidance on AI and machine learning best practices * Driving best ...

RELX

Manager, Data Science - Agentic AI

Raleigh, NC

$115.40K - $192.30K/yr

Staying current with the latest AI and machine learning trends and technologies * Mentoring junior data scientists and provide guidance on AI and machine learning best practices * Driving best ...

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Data Scientist Machine Learning information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data scientist machine learning jobs pay per year?

As of May 28, 2026, the average yearly pay for data scientist machine learning in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the key skills and qualifications needed to thrive in the Data Scientist Machine Learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.
More about Data Scientist Machine Learning jobs
What are the most commonly searched types of Data Scientist Machine Learning jobs in Raleigh, NC? The most popular types of Data Scientist Machine Learning jobs in Raleigh, NC are:
What are popular job titles related to Data Scientist Machine Learning jobs in Raleigh, NC? For Data Scientist Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Data Scientist Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Data Scientist Machine Learning jobs? Cities near Raleigh, NC with the most Data Scientist Machine Learning job openings:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Raleigh, NC as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Senior Data Scientist III - Agentic AI

LexisNexis

Raleigh, NC • Hybrid

$115.40K - $192.30K/yr

Full-time

Posted 14 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

147th of 424 rated business services

Job description

About our Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part ofRELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.

About the Role:

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

We are seeking a Senior Data Scientist III to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why-leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.

You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.

Responsibilities:

  • Lead experimentation and model development for AI/ML solutions in legal products.

  • Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

  • Define agentic workflows and reasoning strategies for multi-step legal tasks.

  • Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Analyze large-scale legal datasets to extract insights and improve model performance.

  • Establish best practices for model evaluation, validation, and benchmarking.

  • Translate experimental results into clear product recommendations and business impact.

  • Collaborate with product, legal experts, and engineers to align solutions with user needs.

  • Mentor team members and provide technical leadership in data science and AI.

Required Qualifications

  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).

  • Strong experience in machine learning, NLP, and LLM-based modeling.

  • Proven experience designing and running experiments, including model evaluation and iteration.

  • Experience with generative AI techniques (e.g., prompt engineering, RAG).

  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.

  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

  • Proficiency in Python and data analysis tools.

  • Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

  • Able to analyze large-scale legal datasets to extract insights and improve model performance.

#AIFluent



U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates.



This job is eligible for an annual incentive bonus.



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