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

Contemporaries

Data Scientist

Durham, NC · Remote

$51 - $58/hr

... Scientist to support environmental health and extreme weather research initiatives. This is a ... Create and revise tutorials related to: * * data downloads, * covariate calculations, * statistical ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including ...

Elder Research

Data Scientist

Raleigh, NC · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * Proficiency in Python, including ...

Advance Auto Parts, Inc.

Data Scientist

Raleigh, NC · On-site

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 ...

Truist

Data Scientist II

Raleigh, NC

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

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

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 ...

Siemens

Principal Data Scientist

Raleigh, NC · On-site

$122K - $210K/yr

Beyond leading our core data science practice - predictive maintenance, asset health, failure ... Statistical modeling and machine learning, time series and predictive modeling, and deep learning ...

Deloitte

Sr. Data Scientist

Raleigh, NC · Hybrid

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 ...

RELX Group plc

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.

LexisNexis

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.

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$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.

Pwc

AI & GenAI Data Scientist - Manager

Raleigh, NC · On-site

$99K - $232K/yr

... Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data ...

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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

AI ML Data Scientist

Tata Consultancy Service Limited

Cary, NC • On-site

$100K - $120K/yr

Full-time

Posted 22 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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