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Data Science Jobs in Raleigh, NC (NOW HIRING)

Work you'll do/Responsibilities Perform analytics using data science techniques; work with the business stakeholders; tell stories from data. * Communicate regularly with Engagement Managers ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction, with a clear vision for Data Science * Working with product leaders to apply data science solutions.

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction, with a clear vision for Data Science * Working with product leaders to apply data science solutions.

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

Driving best practices across our data science functions * Setting strategy and team direction, with a clear vision for Data Science * Working with product leaders to apply data science solutions.

Driving best practices across our data science functions * Setting strategy and team direction, with a clear vision for Data Science * Working with product leaders to apply data science solutions.

Driving best practices across our data science functions * Setting strategy and team direction, with a clear vision for Data Science * Working with product leaders to apply data science solutions.

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

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Showing results 1-20

Data Science information

See Raleigh, NC salary details

$36.4K

$119.2K

$190.8K

How much do data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for data science 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.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
What are popular job titles related to Data Science jobs in Raleigh, NC? For Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Data Science jobs? Cities near Raleigh, NC with the most Data Science job openings:
Infographic showing various Data Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.
Sr. Manager Data Science - Gen AI and Content Systems

Sr. Manager Data Science - Gen AI and Content Systems

LexisNexis

Raleigh, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


LexisNexis rating

7.6

Company rating: 7.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

162nd of 451 rated business services


Job description

hackajob is collaborating with LexisNexis to connect them with exceptional professionals for this role.

Would you like to lead a team building production-grade NLP and LLM capabilities that transform legal and business information into actionable intelligence?

Do you enjoy shaping the future of AI and data science in a way that delivers measurable customer and business impact?

** Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. **

About our Team:

LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About LexisNexis Data Sciences:

At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), RAG, agentic systems and large-scale structured and unstructured content systems to build tools that acquire, structure, enrich and deliver legal content. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence.

Role Overview:

We are seeking a hands-on Senior Manager of Data Science to lead a high-impact team in developing the strategy, standards, and execution of AI across our content ecosystem. You will lead a team that embeds machine learning and generative AI directly into production systems operating at scale.

Our applied research opportunity balances innovation with practical constraints (e.g. latency, cost, reliability), requiring a strong ability to quickly iterate on prototypes (e.g. “vibe coding”), communicate tradeoffs, and rapidly deploy to production environments.

This role is central to our transformation toward an intelligent, agent-enabled content platform which is capable of grounded reasoning, turning structured and unstructured data sources into legal knowledge.

Key Responsibilities:

Scope & Impact

  • Set the vision and strategic priorities, acting as a recognized expert for Data Science
  • Lead and develop a team of data scientists and ML engineers, setting the cultural tone for the group
  • Drive applied research with a clear path to production, explicitly balancing innovation against real-world constraints including latency, cost, and reliability
  • Build and scale evaluation science capabilities within the team, including offline evaluation frameworks, automated benchmarking pipelines, and human-in-the-loop feedback systems to rigorously measure model quality and business impact
  • Champion hands-on rapid prototyping and iteration
  • Collaborate with other Data Science teams to maximize re-use of components and patterns, eliminating waste, duplication and unnecessary customization
  • Operate with broad scope, coordinating across multiple cross-functional teams, systems, and domains

Technical & Product Leadership:

  • Collaborate closely with other Data Science teams, to define and execute the AI roadmap across the content lifecycle, maximizing reuse in areas including:
    • Content collection (e.g. “web scraping”) and transformation
    • Metadata extraction, enrichment, and classification
    • Agentic workflows turning real-world events and legal content into legal intelligence
    • AI-powered downstream product capabilities
  • Design and deploy scalable, production-grade AI systems, including:
    • LLM-powered document understanding and generation
    • Agentic workflows balancing agent autonomy and efficiency with required structure and accuracy
    • Retrieval-augmented generation (RAG) pipelines
    • Hybrid ML + rules-based systems for structured content
  • Lead through execution and by example:
    • Actively writing code, not just delegating
    • Building and demoing working prototypes (e.g. by “vibe coding”)
    • Directly contributing to experiments and production models
  • Establish and scale best practices in Data Science, including:
    • Model development, evaluation, and monitoring
    • Prompt engineering and experimentation frameworks
    • Data preparation and feature engineering standards
    • Reusable components and platform capabilities
  • Partner closely with engineering, architecture, and product leaders to:
    • Integrate AI into large-scale distributed systems
    • Ensure performance, scalability, and reliability
    • Align technical solutions with business outcomes
  • Translate complex, ambiguous problems into clear project plans and executable solutions, and lead teams through delivery
  • Present tradeoffs, alternative approaches and options when faced with delivery constraints

Team & Operational Excellence:

  • Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers.
  • Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design.
  • Establish best practices for evaluation, observability, and responsible use of generative AI.
  • Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments.

Core Qualifications:

Experience & Education

  • Advanced degree (Master’s or PhD) in Data Science, Computer Science, Statistics, or a related field strongly preferred, or equivalent practical experience
  • Bachelor’s degree in a relevant field with significant applied experience in data science, machine learning, or AI
  • Typically requires:
    • 8+ years of relevant experience in data science, machine learning, or applied AI
    • 4+ years of leadership experience (direct or indirect team management)

We recognize that exceptional candidates may follow non-traditional paths and value demonstrated impact, technical depth, and leadership over strict credential requirements.

Success in this role requires:

  • Leading through both technical expertise and organizational influence
  • Acting as a change agent, embedding best practices into workflows and systems
  • Driving both team development and strategic outcomes across a broad scope
  • Ability to select the right tools and technologies to solve business problems

Technical Proficiency

  • Proficient with Python, ML and LLM tooling such as Google ADK, LangChain, ML Frameworks (e.g. TensorFlow, PyTorch) and prompt tuning techniques.
  • Familiarity with vector databases, knowledge graphs, and hybrid retrieval architecture.
  • Strong experience working with structured and unstructured data at scale.
  • Ability to design and implement data pipelines and preparation workflows.
  • Experience integrating ML into complex, multi-stage processing systems
  • Working knowledge of containerization, CI/CD, RESTful API Design and model serving tools.
  • Cloud infrastructure experience on AWS (preferred), Azure, or GCP.
  • Familiarity with AI Coding Tools (e.g. GitHub CoPilot, Claude Code, OpenAI Codex)

Preferred Background

  • Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience.
  • 8+ years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems.
  • Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable.
  • Familiarity with ethical/legal considerations in deploying generative AI in professional settings.

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 wellbeing 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 wellbeing 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: $118,300 - $219,800. 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.

U.S. National Base Pay Range: $118,300 - $219,800. 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.

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.

Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.

Please read our Candidate Privacy Policy.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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