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Senior Data Scientist Machine Learning Jobs in Raleigh, NC

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125.90K - $209.70K/yr

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

RELX

Senior Data Scientist III - Agentic AI

Raleigh, NC · Hybrid

$115.40K - $192.30K/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 ...

RELX

Principal Data Scientist I

Raleigh, NC

This is a senior individual contributor role and does not include direct people-management ... What You'll Do Applied AI, Machine Learning & Data Science * Lead design, development ...

New

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.

New

ExtendMyTeam

Machine Learning Engineer

Cary, NC

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 Group plc

Senior Data Scientist III

Raleigh, NC · On-site

$138.40K - $230.70K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects and their execution. While they may have small teams of indirect reports, they lead through ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · Hybrid

$138.40K - $230.70K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects and their execution. While they may have small teams of indirect reports, they lead through ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$138.40K - $230.70K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects and their execution. While they may have small teams of indirect reports, they lead through ...

RELX

Senior Data Scientist III

Raleigh, NC · Hybrid

$138.40K - $230.70K/yr

Senior Data Scientists III are emerging subject matter experts in their domain, who define projects and their execution. While they may have small teams of indirect reports, they lead through ...

LexisNexis

Principal Data Scientist I

Raleigh, NC · On-site

The role involves leading complex AI, machine learning, and data science initiatives while ... senior stakeholders, product teams, and engineering teams. • Bachelor's degree in Computer ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

This role sits at the intersection of AI, analytics, data science, and business strategy ... Experience deploying or operationalizing machine learning models in a production environment.

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Senior Data Scientist Machine Learning information

See Raleigh, NC salary details

$40.3K

$138.5K

$195.4K

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

As of May 29, 2026, the average yearly pay for senior data scientist machine learning in Raleigh, NC is $138,483.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,200.00 and $161,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist in Machine Learning, and why are they important?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a Senior Data Scientist specializing in Machine Learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What does a Senior Data Scientist specializing in Machine Learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

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 Senior Data Scientist Machine Learning jobs in Raleigh, NC? For Senior Data Scientist Machine Learning jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist Machine Learning jobs in Raleigh, NC look for? The top searched job categories for Senior Data Scientist Machine Learning jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Data Scientist Machine Learning jobs? Cities near Raleigh, NC with the most Senior Data Scientist Machine Learning job openings:
Senior Data Scientist Machine Learning jobs near you

Senior Data Scientist III - Agentic AI

LexisNexis

Raleigh, NC • On-site

$115.40K - $192.30K/yr

Full-time

Posted 16 days ago

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

147th of 424 rated business services

Job description

About our Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case.
About the Role:
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
We are seeking a Senior Data Scientist III to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why-leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.
You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.
Responsibilities:
  • Lead experimentation and model development for AI/ML solutions in legal products.
  • Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Analyze large-scale legal datasets to extract insights and improve model performance.
  • Establish best practices for model evaluation, validation, and benchmarking.
  • Translate experimental results into clear product recommendations and business impact.
  • Collaborate with product, legal experts, and engineers to align solutions with user needs.
  • Mentor team members and provide technical leadership in data science and AI.

Required Qualifications
  • Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).
  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Proven experience designing and running experiments, including model evaluation and iteration.
  • Experience with generative AI techniques (e.g., prompt engineering, RAG).
  • Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
  • Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.
  • Proficiency in Python and data analysis tools.
  • Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).
  • Able to analyze large-scale legal datasets to extract insights and improve model performance.

#AIFluent
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.
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