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Data Science Analytics Jobs in North Carolina (NOW HIRING)

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 ...

Decision Scientist II

Charlotte, NC ยท On-site

$110 - $150/hr

Bachelor's degree or equivalent education and 3+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering * Must be able to ...

Data Science Tutor

Charlotte, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Matthews, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Winston Salem, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Greensboro, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Chapel Hill, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Durham, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Wilmington, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Raleigh, NC ยท Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

MANAGER, DATA SCIENCE The Manager of Data Science will build and lead a focused, high-impact team ... Operating in close partnership with business units, Central Analytics, and Data Engineering, this ...

Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support ... Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and ...

... creation, data analysis and visualization, and collaboration. Three branch libraries focus on ... The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ...

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Data Science Analytics information

See North Carolina salary details

$22

$49

$85

How much do data science analytics jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for data science analytics in North Carolina is $49.75, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $56.35 per hour, depending on experience, location, and employer.

What is data science analytics?

Data science analytics is the process of extracting insights and knowledge from data using statistical, mathematical, and computational techniques. It involves collecting, cleaning, analyzing, and visualizing data to help organizations make informed decisions. Professionals in this field use tools like Python, R, and SQL to interpret complex data sets, build predictive models, and identify trends or patterns. Data science analytics plays a key role in industries such as finance, healthcare, retail, and technology, enabling businesses to optimize operations and improve outcomes.

What are the key skills and qualifications needed to thrive as a data science analytics professional?

To thrive in Data Science Analytics, a strong background in statistics, data modeling, and programming (often with a degree in computer science, mathematics, or a related field) is essential. Familiarity with tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI, as well as knowledge of machine learning libraries, is typically required. Critical thinking, problem-solving, and effective communication skills help professionals translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful information from data and driving informed decision-making within organizations.

How do data science analytics professionals typically collaborate with other departments within an organization?

Data science analytics professionals often work closely with teams across the organization, such as marketing, finance, product development, and IT. Their role involves understanding business needs, gathering requirements, and translating complex data findings into actionable insights for non-technical stakeholders. Effective communication and teamwork are essential, as data scientists may participate in cross-functional meetings, present their analyses, and tailor their recommendations to support strategic decision-making. This collaborative approach not only enhances the impact of analytics projects but also fosters continuous learning and innovation within the organization.

What is the difference between Data Science Analytics vs Data Analyst?

AspectData Science AnalyticsData Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; proficiency in Excel and SQL
Work EnvironmentOften involves complex modeling, machine learning, and predictive analyticsFocuses on data cleaning, reporting, and visualization
Employer & Industry UsageTech companies, finance, healthcare, and research institutionsBusiness, marketing, finance, and operations across various industries

Data Science Analytics and Data Analysts both work with data, but Data Science Analytics typically involves advanced modeling and predictive techniques, while Data Analysts focus on data reporting and visualization. The roles often overlap, but Data Science Analytics requires more technical skills and a deeper understanding of algorithms.

What can I do with data science analytics?

Data science analytics involves analyzing large datasets to extract insights, support decision-making, and solve complex problems. Professionals in this field use tools like Python, R, and SQL, and often work in industries such as finance, healthcare, or marketing to develop predictive models and visualize data. Skills in statistics, machine learning, and data visualization are essential for success in this role.

What are the most commonly searched types of Data Science Analytics jobs in North Carolina?

The most popular types of Data Science Analytics jobs in North Carolina are:

What are popular job titles related to Data Science Analytics jobs in North Carolina?

For Data Science Analytics jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Data Science Analytics jobs in North Carolina look for?

The top searched job categories for Data Science Analytics jobs in North Carolina are:

What cities in North Carolina are hiring for Data Science Analytics jobs?

Cities in North Carolina with the most Data Science Analytics job openings:

Infographic showing various Data Science Analytics job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $103,488 per year, or $49.8 per hour.

AI ML Data Scientist

Cary, NC โ€ข On-site

ClifyX
Recruiting and Staffing Servicesย โ€ขย 51 - 200 employees

Full-time

Re-posted 3 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:
โ€ข 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.
โ€ข Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
โ€ข 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)
โ€ข Strong leadership and capacity to work as a team player, as well as excellent communication skills
โ€ข Some knowledge on various aspects of Retail and Wholesale Consumer banking and US Mortgage Banking.
Qualifications:
Required:
โ€ข Machine Learning techniques
โ€ข Unsupervised - K-means Clustering, PCA - Dimension Reduction, Kernel Density Estimations
โ€ข Supervised - Regression, Decision Trees, Random forest, XG Boost algorithm
โ€ข Time series - Exponential models, Holt-Winters, ETS, Hybrid
โ€ข ARIMA & GARCH
โ€ข Deep Learning - Neural Network, Recurrent Neural Networks
โ€ข Database - SQL, Advance SQL, Oracle, NoSQL
โ€ข Data Science Languages - SAS, SAS Enterprise Miner, R Programming, Python, Spark
โ€ข Statistical & Data Management Packages - Python - Pandas, Numpy, sklearn, PyOdbc
โ€ข R- dplyr, car, caret, lubridate, zoo, Rminer, R-Odbc
โ€ข Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn
โ€ข Big Data Technologies - Spark (Pyspark & SparkR), Hadoop, Yarn
โ€ข PM Tools - MS Project, MS Visio, TFS, JIRA
โ€ข Cloud, Web frameworks & Virtualization - Azure, Flask, Docker & Kubernetes, Kafka
โ€ข 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
โ€ข Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations & Optimization techniques
โ€ข 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)
โ€ข Strong leadership and capacity to work as a team player, as well as excellent communication skills
โ€ข 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