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

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... Statistical model development, Implementations & Optimization techniques • Proficiency in ... • Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark • ...

Dlapiper

Data Scientist

Raleigh, NC · On-site +1

Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural language processing, predictive modeling, data visualization; and Big data tools: Hadoop, Azure ...

Capgemini

Data Scientist

Cary, NC · On-site

$85.79 - $97.27/hr

Data Scientist** to join our growing Analytics and AI team. This role is responsible for developing ... Develop statistical models, predictive analytics, and machine learning algorithms using Python and ...

CYNET SYSTEMS

Data Scientist

Cary, NC · On-site

$65 - $70/hr

Bachelor's or master's degree in computer science, Data Science, Engineering, Mathematics, or a ... Strong understanding of statistics and mathematics for data analysis and prediction. * Ability to ...

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

Apply classical statistical methods (GLMs, GAMs, mixed-effects models, Bayesian inference ... Data Science, or a related quantitative field. * 3+ years of experience (with Bachelor's), 2+ years ...

PlanIT Group, LLC

Data Scientist

Raleigh, NC · On-site

... statistical analysis to complex data mining independently. • Designs, develops and implements the most valuable business solutions for the organization. • Prepares big data, implements data ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Build data science solutions for business challenges including customer propensity, product ... Use machine learning, data mining, and statistical methods to distill meaningful insights from ...

SmartIMS Inc.

Sr.Data Scientist II

Raleigh, NC · On-site

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 ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... Mathematics, Statistics, or a related field. • Have experience working directly with large ... lead and mentor junior data scientists, and collaborate with cross-functional teams. • ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

... Mathematics, Statistics, or a related field. • Have experience working directly with large ... lead and mentor junior data scientists, and collaborate with cross-functional teams. • ...

Peter Millar LLC

Senior Data Scientist

Durham, NC · On-site

$90 - $120/hr

The Senior Data Scientist expands Peter Millar's data science capacity beyond customer analytics ... Strong foundation in statistical methods including regression, classification, clustering, and time ...

Pendo

Sr. Data Scientist

Raleigh, NC · Hybrid

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Solid grasp of statistical concepts, data analysis, predictive modeling, and machine learning.

Pendo

Sr. Data Scientist

Raleigh, NC · On-site

Sr. Data Scientist The team + the role Pendo's GTM Intelligence Team turns data into measurable ... Solid grasp of statistical concepts, data analysis, predictive modeling, and machine learning.

Munich Re

Principal Data Scientist - FCAS

Cary, NC · On-site +1

... science initiatives that support long-term enterprise strategy. Purpose ... Use data and statistical analysis to drive business decisions and target improved results across ...

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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 Aug 23, 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.

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 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.

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 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:

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:

Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

AI ML Data Scientist

ClifyX

Cary, NC • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
ClifyX is a company specializing in data science and analytics, and they are seeking an AI ML Data Scientist. The role requires expertise in predictive modeling and big data analytics, with a focus on implementing machine learning techniques to solve various business problems in the banking and financial services sector.
Responsibilities:
• Data Scientist with 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services.
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques -Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
• Machine Learning techniques
• Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
• Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
• Time series - Exponential models, Holt-Winters, ETS, Hybrid
• ARIMA & GARCH
• Deep Learning - Neural Network, Recurrent Neural Networks
• Database - SQL, Advance SQL, Oracle, NoSQL
• Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
• Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
• R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
• Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
• Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
• PM Tools - MS Project, MS Visio, TFS, JIRA
• Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
• 5-10+ years of result-oriented, hands-on professional experience with a successful record of accomplishments in Data Science & Analytics and Project management in Banking and Financial Services
• Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
• Proficiency in implementing Machine learning techniques - Regression, Decision Tree Learning, Neural networks, Random Forest and XGBoost-in various business problems (AML, fraud detection, mortgage default, foreclosure, credit risk management, price prediction and optimization)
• Strong leadership and capacity to work as a team player, as well as excellent communication skills
• Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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