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Data Scientist Machine Learning Jobs in Raleigh, NC

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities * Working closely with other data scientists and engineers ...

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

Machine Learning and AI Solutions : Lead the development and implementation of machine learning ... D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business ...

VSCODE and PYCHARM Have communication skills 7+ years of experience in AI and machine learning Deep ... SQL Skills data science, nlp, indexing, semantic search, conversational search, langchain ...

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Provide technical leadership across machine learning, statistical modeling, feature engineering ...

New

Lead the development of advanced AI and machine learning models to solve complex business problems. * Collaborate with other data scientists and engineers to design, develop, and deploy AI solutions.

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Use machine learning, data mining, and statistical methods to distill meaningful insights from ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Use machine learning, data mining, and statistical methods to distill meaningful insights from ...

New

... machine learning modeling, etc.) to provide actionable insights that improve business outcomes and ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

... data and presenting your findings to high-level customers. Responsibilities : • help CoVar ... S. or Ph.D in engineering, math, computer science, or related field • Excellent technical ...

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Showing results 1-20

Data Scientist Machine Learning information

See Raleigh, NC salary details

$36.4K

$119.2K

$190.8K

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

As of Jul 11, 2026, the average yearly pay for data scientist machine learning in Raleigh, NC is $119,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,100.00 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.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

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.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
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:
Infographic showing various Data Scientist Machine Learning job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.
Senior Data Scientist III

Senior Data Scientist III

LexisNexis

Raleigh, NC • On-site, Remote

$115K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

160th of 449 rated business services


Job description

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role.

Job Description

Do you want to help us build further data science capabilities?

And are you eager to work on the quality of data sources serving our end-user products?

About our Team

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is apart of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the Role

As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members.

Responsibilities

  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
  • Leading the development of advanced AI and machine learning models to solve complex business problems.
  • Analyzing large datasets to identify patterns and trends that can inform AI development.
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
  • Evaluating and creating new frameworks and defining methodologies and governance.
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
  • Working with product leaders to apply data science solutions.
  • Leading small- to medium-sized teams (direct or indirect).

Requirements

  • Masters plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience.
  • Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a related field.
  • Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
  • Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS.
  • Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc.
  • Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams.
  • Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
  • Possess advanced programming skills in Python, R, or other relevant languages for data analysis.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business

LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.

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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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