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

Associate Data Scientist

Durham, NC · Hybrid

$57K - $57K/yr

Build, test, and deploy statistical and machine learning models to support business and scientific ... Support the development of data pipelines and workflows that ensure scalable and reproducible ...

... statistical and predictive analytics, machine learning modeling, etc.) to provide actionable ... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ...

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred. * Programming: 5+ years experience with Python (pandas, PySpark ...

Top Skills' Details Data Science & Advanced Analytics - Design and develop predictive, prescriptive, and generative AI solutions. - Apply statistical modeling, machine learning, and advanced ...

New

Bachelor's degree in Computer Science, Information Technology, Data Science, or Mathematics, Statistics or related field. MS Preferred. * Programming: 5+ years experience with Python (pandas, PySpark ...

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 ...

Top Skills' Details Data Science & Advanced Analytics - Design and develop predictive, prescriptive, and generative AI solutions. - Apply statistical modeling, machine learning, and advanced ...

New

Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social ... As an experienced Data Scientist you will have the ability to share new ideas and collaborate on ...

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 ...

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/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.

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/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.

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Showing results 1-20

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 Jul 13, 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.

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:
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:
Infographic showing various Statistical Data Scientist 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 $160,411 per year, or $77.1 per hour.

$100K - $120K/yr

Full-time

Posted 17 days ago


Job description

AI ML Data Scientist
Must Have Technical/Functional Skills
-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 & Kubernets, Kafka
Roles & 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.
Salary Range- $100,000-$120,000 a year
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