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Senior Data Scientist Machine Learning Jobs in Raleigh, NC

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$125K - $209K/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 II

Raleigh, NC · Hybrid

$104K - $174K/yr

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven ... Strong experience in machine learning, NLP, and LLM-based modeling. * Strong experience designing ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/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 ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/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 ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Substantial experience in a senior data scientist role. * Experience leading complex projects and ...

RELX

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Substantial experience in a senior data scientist role. * Experience leading complex projects and ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Substantial experience in a senior data scientist role. * Experience leading complex projects and ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Substantial experience in a senior data scientist role. * Experience leading complex projects and ...

TEKsystems

Principal Data Scientist

Cary, NC · On-site

$50 - $85/hr

Description TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior ... VSCODE and PYCHARM Have communication skills 7+ years of experience in AI and machine learning Deep ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

The ideal candidate will have a deep understanding of machine learning algorithms, experience ... Substantial experience in a senior data scientist role. * Experience leading complex projects and ...

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.

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.

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

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 Jul 13, 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.

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 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.

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 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 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 II

Senior Data Scientist II

LexisNexis

Raleigh, NC • On-site

$125K - $209K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

161st of 449 rated business services

Job description

About our Team:
LexisNexis Legal & Professional, serving customers in over 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 is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.
About the Role:
We are seeking a Senior Data Scientist II to help 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 help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.
Responsibilities:
  • Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
  • Define agentic workflows and reasoning strategies for multi-step legal tasks.
  • Develop 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.
Requirements:
  • Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
  • Strong experience in machine learning, NLP, and LLM-based modeling.
  • Strong experience designing and running experiments, including model evaluation and iteration.
  • Strong coding skills.
  • 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.
  • Strong foundation in statistics, modeling, and large-scale text processing.

Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
  • Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
  • Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
  • Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
  • Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits
  • Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#AIFluency
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Colorado, the base pay range is $104,900 - $174,700.If performed in Illinois, the base pay range is $110,100 - $183,500.If performed in Chicago, IL, the base pay range is $115,400 - $192,200.If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $118,349 - $189,051.If performed in Ohio, the base pay range is $99,700 - $166,000.This job is eligible for an annual incentive bonus.Application deadline is 12/31/2027.
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.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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