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Data Scientist Machine Learning Jobs in Raleigh, NC

Korn Ferry

Senior Data Scientist

Raleigh, NC · Remote

Leading the development of advanced AI and machine learning models to solve complex business ... Mentoring junior data scientists and provide guidance on AI and machine learning best practices.

ClifyX

AI ML Data Scientist

Cary, NC · On-site

The role involves leveraging machine learning and data science techniques to solve business problems in the banking and financial services sector. Responsibilities : • Data Scientist with 5-10+ ...

New

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

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

LexisNexis

Manager Data Science

Raleigh, NC · On-site

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

ExtendMyTeam

Machine Learning Engineer

Cary, NC · On-site

This individual will work closely with software engineers, data scientists, and product teams to operationalize machine learning models, improve ML infrastructure, and support scalable analytics ...

RELX

Lead Data Scientist

Raleigh, NC

$104.90K - $174.70K/yr

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

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

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

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

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

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

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

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

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

RELX

Lead Data Scientist

Raleigh, NC · On-site

$104.90K - $174.70K/yr

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

Bandwidth

Sr. Data Scientist

Raleigh, NC

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science ... Architect and implement advanced machine learning systems, including supervised and unsupervised ...

Bandwidth

Sr. Data Scientist

Raleigh, NC

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science ... Architect and implement advanced machine learning systems, including supervised and unsupervised ...

Bandwidth

Sr. Data Scientist

Raleigh, NC · On-site

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science ... Architect and implement advanced machine learning systems, including supervised and unsupervised ...

ExtendMyTeam

Machine Learning Engineer

Cary, NC · On-site

As a Machine Learning Engineer, you will help build and operate production systems that power fraud ... You'll work closely with data scientists and engineers to bring models into production, ensuring ...

Samprasoft

Machine Learning Engineer

Durham, NC · On-site

Sr. Machine Learning Engineer Duration: 12 -24 Months Location: Merrimack, NH/ Smithfield, RI ... Engineering, Computer Science, etc.) * 8+ years of proven experience in implementing Big data ...

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Data Scientist Machine Learning information

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$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.
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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:
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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.
Principal Exposure Data Scientist - Chemical Insights Research Institute

Principal Exposure Data Scientist - Chemical Insights Research Institute

UL Research Institutes

Morrisville, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Job Description
We have an exciting opportunity for a Principal Exposure Data Scientist at UL Research Institutes based in our Morrisville, NC office.
The Principal Exposure Data Scientist will assist in the development and maintenance of the data analysis infrastructure to support the Chemical Insights Research Institute (CIRI) mission of advancing human and environmental health. This role focuses on developing data analysis pipelines, ensuring efficient data exchange and interoperability across diverse platforms and scientific disciplines, and applying advanced machine learning/AI methods and statistical frameworks to identify and quantify trends or patterns in complex, large scale datasets. The Principal Exposure Data Scientist works closely with CIRI scientists and external collaborators to deliver high-quality scientific data that inform chemical exposure assessment, risk assessment, regulatory decisions, and public health guidance.
UL Research Institutes:
At UL Research Institutes (ULRI), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Chemical Insights teams who conduct the research required to produce that knowledge and put into practice.
Chemical Insights Research Institute (CIRI):
The Chemical Insights Research Institute (CIRI) contributes to the protection of public health and well-being by conducting scientific research. Our research and initiatives let people around the world know what chemicals are in the air we breathe and how they affect human health and the planet. We share our research and knowledge through information and application tools with leaders in the scientific, business, and policy communities to raise awareness of human health risks stemming from emerging technologies. To learn more, visit: chemicalinsights.org/
What you'll learn and achieve:
As the Principal Exposure Data Scientist, you will play a key role in the rapid growth of UL as you:
  • Design and implement cutting-edge data science methods for chemical exposure.
  • Work as part of a team to extract, curate, and harmonize structured and unstructured chemical exposure, product ingredient, biomonitoring, and environmental contamination data.
  • Develop and implement quality assurance plans for data curation projects.
  • Design and implement artificial intelligence and machine learning solutions to automate data extraction, curation, and quality evaluation of structured and unstructured data.
  • Develop and implement data mapping and extraction, transformation, and load (ETL) pipelines for efficient exchange of data between established chemical safety and exposure data systems (e.g., IUCLID, MMDB, CPDat).
  • Develop statistical and machine learning models to predict chemical functional use and exposure pathways.
  • Collaborate with exposure scientists, toxicologists, analytical chemists, and toxicokinetic scientists to provide solutions for linking cross-disciplinary data, computational modeling, and interpreting experimental results.
  • Work closely with software and database engineers to provide high-quality chemical exposure data for on-line software applications and decision support tools.
  • Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders.
  • Stay up-to-date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices.
  • Present research findings at scientific conferences, stakeholder meetings, and technical forums.
  • Serve as co-author on peer-reviewed publications and technical reports.
  • Assist in writing research proposals and securing funding from internal and external sources.
  • Provide technical support and troubleshooting for data-related issues.
  • Perform other duties as assigned.

What you'll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.
  • Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
  • Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Proficiency in programming and statistical languages (e.g. Python, Java, R).
  • Knowledge of machine learning, statistical modeling, and data visualization tools.
  • Working knowledge of exposure science, chemistry, and toxicokinetics.
  • Understanding of relational and non-relational database systems.
  • Proven ability to participate in multidisciplinary teams on complex projects in a research setting.
  • Excellent problem-solving and analytical capabilities, with the ability to adapt to new challenges and prioritize competing demands.
  • Willingness to learn and research new concepts and technologies.
  • Ability to communicate with technical and non-technical internal and external stakeholders.
  • Skilled in versioning best practices, i.e. GitHub, Code Commit.

Professional education and experience requirements for the role include:
  • Master's Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 6 years of relevant experience; or
  • Doctoral Degree in Environmental Health, Data Science, Chemistry, or Chemical Engineering and at least 4 years of relevant experience.
  • Solid technical knowledge and experience working with R, Java or Python programming language, relational (SQL and Postgres) databases.
  • Demonstrated experience in developing data extraction and curation workflows for structured and unstructured chemical exposure data in a research environment.
  • Prior experience in developing quantitative structure-property relationship models to predict chemical functional use and exposure pathways.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.
Salary Range:
$119,260.28-$163,982.88
Pay Type:
Salary

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