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Data Scientist Machine Learning Jobs in Raleigh, NC

Samprasoft

Machine Learning Engineer

Durham, NC

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 ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$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 ...

LexisNexis

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 ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

PhD in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in languages such as ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

PhD in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills in languages ...

AstraZeneca

Agentic AI Scientist

Durham, NC · On-site

PhD in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills in languages ...

AstraZeneca

Agentic AI Scientist

Durham, NC

PhD in computer science, data science, artificial intelligence, machine learning or related fields. * At least 3 years of experience in Deep Learning and ML * Excellent coding skills in languages ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

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 ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

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 ...

Truist

Data Scientist II

Raleigh, NC · On-site

... 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 ...

RELX Group plc

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.

LexisNexis

Manager Data Science

Raleigh, NC

$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.

LexisNexis

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.

RELX

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.

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

TEKsystems

Principal Data Scientist

Cary, NC

$50 - $85/hr

VSCODE and PYCHARM Have communication skills 5+ years of experience in AI and machine learning Deep ... SQL Skills data science, nlp, indexing, semantic search, conversational search, langchain ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

... 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 ...

RELX

Senior Data Scientist III - Agentic AI

Raleigh, NC · Hybrid

$115K - $192K/yr

We are seeking a Senior Data Scientist III to lead the design and validation of Agentic AI-driven ... This role focuses on defining what to build and why -leveraging machine learning, NLP, and large ...

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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

$36.4K

$119.2K

$190.8K

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

As of Jun 20, 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 ML a high paying job?

Data Scientist Machine Learning roles are generally well-paid due to the specialized skills required, such as programming in Python or R and knowledge of algorithms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for expertise in machine learning and data analysis.

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.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require advanced analytical skills, domain expertise, and the ability to interpret complex models. Jobs that involve creative thinking, emotional intelligence, and tasks requiring human judgment—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 June 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Temporary. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

Samprasoft

Durham, NC

Other

Posted 2 days ago

Job description

Sr. Machine Learning Engineer

Duration: 12 -24 Months

Location: Merrimack, NH/ Smithfield, RI/ Westlake, TX/ Durham, NC/ Covington, KY/ Jersey City, NJ/ Boston, MA

Candidate should be local or willing to work onsite on any of the above locations for 5 days/ month

The Expertise And Skills You Bring
  • Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.)
  • 8+ years of proven experience in implementing Big data solutions in data analytics space
  • 2+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS Sagemaker
  • Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required
  • Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.)
  • Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks
  • Data movement technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies
  • Strong knowledge of developing highly scalable distributed systems using Open-source technologies
  • Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)
  • Solid experience in Agile methodologies (Kanban and SCRUM)
  • Strong technical design and analysis skills
  • Ability to deal with ambiguity and work in fast paced environment
  • Experience supporting critical applications
  • Familiarity with applied data science methods, feature engineering and machine learning algorithms
  • Data wrangling experience with structured, semi-structured and unstructured data
  • Experience building ML infrastructure, with an eye towards software engineering
  • Excellent communication skills, both through written and verbal channels
  • Excellent collaboration skills to work with multiple teams in the organization
  • Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem

Required Skills : Basic Qualification : Additional Skills : Please do not send junior candidates, Need 10 plus years of experience.

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