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Computer Science Statistics Jobs in Charlotte, NC

Bachelor's degree in data science, statistics, computer science, economics, operations research, engineering, or related quantitative field * Minimum 3 years of experience applying data science ...

AP Statistics Tutor

Charlotte, NC ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

AP Statistics Tutor

Matthews, NC ยท Remote

$18 - $40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... and connects statistics to social science research, public policy, and medical studies.

What you will bring Master's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience. Strong ...

Data Scientist

Charlotte, NC ยท On-site +1

Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and ...

Associate Data Scientist

Fort Mill, SC ยท On-site

$85K - $117K/yr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field * 1-3 years of experience in data science, ML engineering, or a related role (including internships)

Showing results 21-40

Computer Science Statistics information

See Charlotte, NC salary details

$36.6K

$119.9K

$191.9K

How much do computer science statistics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for computer science statistics in Charlotte, NC is $119,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $132,800.00 per year, depending on experience, location, and employer.

Do computer science statisticians make a lot of money?

Computer science statisticians typically earn competitive salaries, especially with advanced skills in data analysis, programming, and statistical software. Salaries vary based on experience, education, and location, but the field generally offers strong earning potential compared to many other roles in technology and data science.

What is a computer science statistics?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most computer science statistics majors get?

Computer science statistics majors often find employment as data analysts, data scientists, machine learning engineers, and software developers. These roles typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools. Many positions are available in technology, finance, healthcare, and consulting industries.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially for data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What do computer science statistics professionals do?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What skills and qualifications are needed for computer science statistics?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are popular job titles related to Computer Science Statistics jobs in Charlotte, NC?

For Computer Science Statistics jobs in Charlotte, NC, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in Charlotte, NC look for?

The top searched job categories for Computer Science Statistics jobs in Charlotte, NC are:

Infographic showing various Computer Science Statistics job openings in Charlotte, NC as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $119,881 per year, or $57.6 per hour.

Analytics Consultant - Cloud Operations

Motion Recruitment Partners, LLC

Charlotte, NC โ€ข On-site

Other

Posted 13 days ago


Job description

Outstanding contract opportunity! A well-known Financial Services Company is looking for an Analytics Consultant - Cloud Operations in Chandler, AZ. Irving, TX. or Charlotte, NC. (hybrid 3 days on-site).
Our ideal candidate will strengthen the team's KPI reporting and analytics capabilities by transforming operational data into meaningful insights and recommendations-preferably an Operational Analytics Consultant. While we're primarily looking for someone to strengthen the team's analytics capabilities, we're also open to candidates with a systems or infrastructure engineering background who have an interest in operational analytics.
The Service Reliability and Delivery team is seeking a Senior Operational Analytics Consultant to transform operational data into actionable business insights. This role goes beyond building dashboards. The primary responsibility is to understand operational performance, identify trends and root causes, develop hypotheses, and provide recommendations that enable leadership to make informed decisions.
Working closely SRE, Data Engineers, and BI specialists, this role serves as the bridge between operational data and executive decision making.
Key Responsibilities
  • Analyze operational data to identify trends, patterns, risks, and opportunities for improvement
  • Interpret KPI/KRI and explain the business driver behind performance changes and risks
  • Develop hypotheses and validate findings using statistical and analytical techniques
  • Translate complex data into clear executive insights and practical recommendations
  • Identify automation opportunities through operational analytics and process analysis
  • Prepare executive presentations, operational reviews, and performance summaries that communicate meaningful insights
  • Support predictive analytics initiatives by identifying leading indicators, trends, and forecasting opportunities
  • Continuously improve operational reporting by moving beyond descriptive metrics toward actionable insights

Required Qualifications
  • Bachelor's degree in Analytics, Data Science, Statistics, Operations Management, Computer Science, or a related field
  • Five or more years of experience in operational analytics, business analytics, management consulting, strategy, or a similar analytical role
  • Strong analytical problem-solving skills with the ability to interpret complex operational data
  • Experience using SQL to analyze and manipulate large datasets
  • Experience with Power BI, or similar business intelligence platforms
  • Experience presenting analytical findings to senior leadership
  • Strong understanding of KPIs, KRIs, trend analysis, and performance measurement
  • Excellent written, verbal, and presentation skills

Preferred Qualifications
  • Experience supporting IT Operations, SRE, Service Management, or Enterprise Technology organizations
  • Knowledge of statistics, forecasting, hypothesis testing, regression analysis, or predictive analytics
  • Experience using Python for analytics
  • Experience identifying process improvement or automation opportunities through data analysis
  • ITIL, COBIT certification
  • Experience using AI or Gen AI tools to improve analytics