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Data Scientist Machine Learning Jobs in Raleigh, NC

ClifyX

AI ML Data Scientist

Cary, NC · On-site

Required : • Machine Learning techniques • Unsupervised - K-means Clustering, PCA - Dimension ... • Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a ... Experience in developing Machine Learning models using Python (preferably in the cloud)

New

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

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

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

VSCODE and PYCHARM Have communication skills 5+ years of experience in AI and machine learning Deep ... Details Python,Data science,Machine learning,Artificial intelligence Additional Skills ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a ... Experience in developing Machine Learning models using Python (preferably in the cloud)

New

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

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

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Role Summary We are seeking an experienced Data Scientist with strong expertise in Data Science ... Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch.

RELX

Lead Data Scientist

Raleigh, NC

$104K - $174K/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

$104K - $174K/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

$104K - $174K/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

$104K - $174K/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

$104K - $174K/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 ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Raleigh, NC

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 Jul 31, 2026, the average yearly pay for data scientist machine learning 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 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:
Data Scientist Machine Learning jobs near you
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, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $119,305 per year, or $57.4 per hour.

Junior Machine Learning Engineer/Data Scientist/Data analyst-remote

SynergisticIT

Raleigh, NC • On-site

Other

Posted 4 days ago

Job description

Future Java, Data, and AI Professionals — Start Your Tech Career With a Process If you are serious about launching a career in tech, do not rely only on random applications, scattered tutorials, or hope. The candidates who stand out usually have current skills, strong projects, interview confidence, and a clear story about the value they can bring. That is especially important in competitive entry-level and junior hiring. Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor’s or Master’s programs Those struggling to land interviews despite having experience please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ SynergisticIT is looking for candidates interested in entry-level software programming, Java full-stack development, Python/Java development, DevOps, data analysis, BI, data engineering, data science, machine learning, and AI programming. This opportunity is ideal for recent graduates, bootcamp graduates, career changers, laid-off candidates, and job seekers with limited experience. SynergisticIT JOPP is good for candidates because it is built around job readiness and placement-focused preparation. It helps candidates strengthen technical skills, build project proof, improve resume positioning, prepare for interviews, and approach the job market with a structured plan. Start your tech career with a process—not guesswork. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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