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Data Scientist Machine Learning Jobs in Durham, NC

Compunnel

Data Scientist

Raleigh, NC · On-site

We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and production-scale machine learning systems. This ...

Compunnel

Senior Data Scientist

Raleigh, NC · On-site

The Data Scientist will work closely with Machine Learning Engineers throughout the production lifecycle and provide technical mentorship and subject matter expertise to colleagues. Key ...

Compunnel

Data Science-II

Raleigh, NC · On-site

Job Summary We are seeking a Senior Data Scientist II with 10-12+ years of total experience and at ... The candidate will contribute to customer-facing products and work closely with Machine Learning ...

New

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 • ...

TEKsystems

Machine Learning Engineer

Raleigh, NC

$75 - $85/hr

Top Skills' Details - Masters degree in Computer Science, Machine Learning, Data Science, Engineering, or related discipline. - 10+ years of software engineering, machine learning engineering, or ...

Posted today

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)

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 ...

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 ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

LexisNexis Risk Solutions

Lead Data Scientist

Raleigh, NC · On-site

$104.90 - $174.70/hr

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

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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Showing results 1-20

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

Data Scientist Machine Learning information

See Durham, NC salary details

$36.2K

$118.6K

$189.9K

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

As of Sep 4, 2026, the average yearly pay for data scientist machine learning in Durham, NC is $118,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

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 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.

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 is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Durham, NC?

The most popular types of Data Scientist Machine Learning jobs in Durham, NC are:

What are popular job titles related to Data Scientist Machine Learning jobs in Durham, NC?

For Data Scientist Machine Learning jobs in Durham, NC, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Durham, NC look for?

The top searched job categories for Data Scientist Machine Learning jobs in Durham, NC are:

What cities near Durham, NC are hiring for Data Scientist Machine Learning jobs?

Cities near Durham, 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 Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $118,603 per year, or $57 per hour.

Senior Data Scientist[Remote]- W2 Role

SmartIPlace

Raleigh, NC • On-site

Contractor

Posted 17 days ago

Job description

Senior Data Scientist II
Position: Senior Data Scientist II
Location: Remote (EST) — Hybrid in Raleigh, NC preferred
Rate Type: BH W2
Duration: 6 months, with possible extension/conversion
Interview Process: 2 rounds via video

Position Overview

LexisNexis is seeking experienced Senior Data Scientist II professionals to develop innovative, customer-facing data science and AI solutions. The ideal candidate will have strong expertise in modern data science, Generative AI, LLMs, RAG, agentic AI, unstructured data, and production machine learning.

You will work closely with Machine Learning Engineers (MLEs) and cross-functional teams throughout the product development and production lifecycle, turning complex data into scalable, customer-focused solutions.

Required Qualifications

  • 8+ years of total professional experience in data science, machine learning, or a closely related field.
  • 5+ years of recent Data Science experience, with hands-on expertise in areas such as:
    • MCP
    • RAG implementations, evaluations, validations, and proof-of-concepts
    • Agentic AI
    • Generative AI
    • LLM applications
    • Unstructured data
  • Proven experience building customer-facing data science or AI products.
  • Experience partnering with Machine Learning Engineers (MLEs) throughout the production lifecycle.
  • Strong Python programming skills.
  • Strong understanding of machine learning algorithms, including:
    • Deep Learning
    • Gradient Boosting
    • Random Forests
  • Experience working directly with Large Language Models (LLMs) and Transformer-based architectures, including:
    • BERT
    • RoBERTa
    • T5
  • Hands-on experience applying LLM technologies such as:
    • ChatGPT
    • GPT-3.5
    • Claude
    • Mistral
  • Experience working with large datasets and distributed computing systems, such as Hadoop and Spark.

Preferred Qualifications

  • Experience working within large enterprise environments.
  • Experience taking AI/ML solutions from experimentation and proof-of-concept through production.
  • Strong understanding of modern Generative AI and LLM ecosystem.
  • Experience working with cross-functional teams to deliver business and customer-focused solutions.

Key Responsibilities

  • Develop advanced data science and AI solutions using complex datasets.
  • Design, implement, evaluate, and validate RAG, agentic AI, MCP, and Generative AI solutions.
  • Work with unstructured data to extract meaningful insights and develop innovative AI applications.
  • Apply machine learning and deep learning techniques to solve complex business problems.
  • Work directly with LLMs and Transformer-based architectures.
  • Collaborate closely with MLEs to move models and AI solutions into production.
  • Contribute to the full product lifecycle, from research and experimentation through deployment and optimization.
  • Analyze large-scale datasets using distributed computing technologies such as Spark and Hadoop.
  • Partner with cross-functional teams to translate business requirements into data-driven solutions.
  • Drive actionable insights that support business strategy, customer experience, and product growth.
  • Stay current with emerging developments in Generative AI, LLMs, machine learning, and AI engineering.

Ideal Candidate

The ideal candidate is a senior-level Data Scientist with strong hands-on Generative AI/LLM experience, particularly someone who has recently worked on RAG, MCP, agentic AI, unstructured data, and customer-facing AI products and has experience taking solutions into production.

Must-Have Keywords:
Python | Data Science | Generative AI | LLM | RAG | MCP | Agentic AI | Unstructured Data | Machine Learning | Deep Learning | Transformers | BERT | RoBERTa | T5 | Spark | Hadoop | Customer-Facing Products | MLE Collaboration

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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