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Statistical Data Scientist Jobs in Raleigh, NC (NOW HIRING)

Senior Data Scientist II

Raleigh, NC · On-site +1

$115K - $192K/yr

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.

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

New

The successful candidate will have the ability to apply a range of data technologies, statistical ... At least 5 years in analytics or data science, with a proven interest in and knowledge of live ...

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling ...

Vice President, Data Science

Raleigh, NC · On-site

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling ...

Decision Scientist III

Raleigh, NC · On-site

$104K - $130K/yr

Using an interdisciplinary approach of leveraging concepts from business, applied statistics and ... data-driven decisions with an objective of driving quantifiable, optimized business results in ...

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field * 6-10+ years of experience in data science, advanced analytics, or applied modeling * Proven experience ...

Showing results 41-60

Statistical Data Scientist information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do statistical data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical data scientist in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What are the key skills and qualifications needed to thrive as a statistical data scientist?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Raleigh, NC? For Statistical Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
Infographic showing various Statistical Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Senior Data Scientist II

LexisNexis

Raleigh, NC • On-site, Remote

$115K - $192K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-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

186th of 483 rated business services


Job description

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

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 Ohio, the base pay range is $99,700 - $166,000.

This job is eligible for an annual incentive bonus.

Application deadline is 05/29/2026.

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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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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