ZipRecruiter

Log In

1

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

LexisNexis

Manager Data Science

Raleigh, NC · On-site

Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field * 7-10+ ...

RELX

Senior Data Scientist III - Agentic AI

Raleigh, NC · Hybrid

$115K - $192K/yr

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 ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site

Required : • Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science) • 4+ years of experience in data science, analytics, or a related field - with ...

UCB

Principal Statistical Methodologist (US)

Raleigh, NC · Hybrid

... Data Sciences (BDS), based in Raleigh (US). About the role You will help shape how evidence is ... You will provide expert statistical consultation on trial design and analysis, develop and apply ...

New

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site

$111K - $133K/yr

AI Data Science Engineer III Our Deloitte Human Capital team transforms technology platforms ... Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ...

Alimentiv

Statistician

Raleigh, NC · Remote

... scientific processes and results. Project Support * Provide statistical expertise and guidance ... Statistical Analysis/Data Collection Planning * Prepare statistical analysis plan and oversee ...

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

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 ...

Alimentiv

Statistician

Raleigh, NC · On-site

... scientific processes and results. Project Support * Provide statistical expertise and guidance ... Statistical Analysis/Data Collection Planning * Prepare statistical analysis plan and oversee ...

McGough

Manager, Data Science

Raleigh, NC · On-site

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 ...

Deloitte

AI and Data Science Engineer III

Raleigh, NC · On-site +1

$111K - $133K/yr

Bachelor's degree in Computer Science, Engineering, Statistics, Data Science, or another STEM field * 4+ years of experience building and delivering large language model or generative artificial ...

RELX Group plc

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * 5 + ...

LexisNexis

Manager Data Science

Raleigh, NC

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * 5 + ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * 5 + ...

RELX

Manager Data Science

Raleigh, NC

$115K - $192K/yr

Substantial experience in a senior data scientist role. * Experience leading complex projects and ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * 5 + ...

next page

Showing results 1-20

All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in Raleigh, NC

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 Jun 16, 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, and why are they important?

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.

Which is better, DS or CS?

For a Statistical Data Scientist, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS emphasizes statistical analysis, modeling, and data interpretation, while CS focuses on algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data management are essential in both fields.

What does a statistical data scientist do?

A statistical data scientist analyzes large datasets to identify patterns, develop models, and generate insights that inform business decisions. They use statistical techniques, programming languages like Python or R, and tools such as SQL and data visualization software to interpret data and communicate findings effectively.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Statistical Data Scientists often use this concept to focus on the most impactful features or data subsets to improve model performance and efficiency.

Is 40 too late for data science?

A statistical data scientist can enter the field at any age, including 40, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.
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:
What job categories do people searching Statistical Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Statistical Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Statistical Data Scientist jobs? Cities near Raleigh, NC with the most Statistical Data Scientist job openings:
Statistical Data Scientist jobs near you

Manager Data Science

LexisNexis

Raleigh, NC • On-site

Full-time

Medical, Life, Retirement

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

150th of 428 rated business services

Job description

** 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. **
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
Join us in shaping a more just world.
About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies.
For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
  • 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 solutions
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
  • Analyzing large datasets to identify patterns and trends that can inform AI development
  • Communicating findings and insights to stakeholders in a clear and concise manner
  • Staying current with the latest AI and machine learning trends and technologies
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices
  • 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.
  • Evaluating and creating new frameworks and defining methodologies and governance
  • Leading small- to medium-sized teams (direct or indirect)
  • Setting a high-bar for model development

Requirements:
  • Have substantial experience in a senior data scientist role
  • Have experience in leading complex projects and customer relationships
  • Have significant experience in managing larger Technical teams (direct or indirect)
  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
  • Be a natural problem solver, able to take a lead in collaborating to resolve issues
  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • 7-10+ years of experience in AI and machine learning
  • Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think outside the box

Work in a way that works for you:
We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees
Working with Us:
LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace.
Working for you:
We believe in a healthy work/life balance. 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:
- Comprehensive, multi-carrier health plan benefits
- Disability insurance
- Dependent care and commuter spending accounts
- Life and accident insurance
- Retirement benefits (salary investment plan/employer stock purchase plan)
- Modern family benefits, including adoption and surrogacy
About our Team:
LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful.
#AIFluency
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.
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.
USA Job Seekers:
EEO Know Your Rights.

What LexisNexis employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply