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Information Technology | Data Scientist

Data Scientist

What Does a Professional in this Career Do?

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

Job Outlook

There were 1425 Data Scientist job postings in North Carolina in the past year and 60332 in the United States.

In combination with other careers in the Data Scientist industry, which includes the Data Scientist career, the following graph shows the number of people employed for each year since 2015:

Salary

Many new Data Scientist jobs have salaries estimated to be in the following ranges, based on the requirements and responsibilities listed in job postings from the past year.

National

The average estimated salary in the United States for this career, based on job postings in the past year, is $123,464.

State

The average estimated salary in North Carolina for this career, based on job postings in the past year, is $109,801.

Percentiles represent the percentage that is lower than the value. For example, 25% of estimated salaries for Data Scientist postings in the United States in the past year were lower than $98,612.

Education and Experience

Posted Data Scientist jobs typically require the following level of education. The numbers below are based on job postings in the United States from the past year. Not all job postings list education requirements.

Education LevelPercentage
Associate's Degree1.41%
Bachelor's Degree55.95%
Master's Degree53.78%
Doctoral Degree32.39%
Other2.1%

Posted Data Scientist jobs typically require the following number of years of experience. The numbers below are based on job postings in the United States from the past year. Not all job postings list experience requirements.

Years of ExperiencePercentage
0 to 2 years21.49%
3 to 5 years49.56%
6 to 8 years17.16%
9+ years11.79%

Skills

Below are listings of the most common general and specialized skills Data Scientist positions expect applicants to have as well as the most common skills that distinguish individuals from their peers. The percentage of job postings that specifically mention each skill is also listed.

Baseline Skills

A skill that is required across a broad range of occupations, including this one.

  • Communication (41.05%)
  • Mathematics (36.44%)
  • Research (33.24%)
  • Problem Solving (19.82%)
  • Leadership (18.72%)
  • Innovation (17.85%)
  • Management (17.76%)
  • Presentations (15.8%)
  • Operations (14.33%)
  • Writing (13.85%)

Defining Skills

A core skill for this occupation, it occurs frequently in job postings.

  • Artificial Intelligence (32.57%)
  • Data Mining (14.31%)
  • Algorithms (32.41%)
  • Data Analysis (36.06%)
  • Artificial Neural Networks (7.25%)
  • Computer Science (54.36%)
  • Machine Learning Algorithms (10.43%)
  • Python (Programming Language) (73.67%)
  • R (Programming Language) (36.93%)
  • Machine Learning (69.4%)
  • TensorFlow (18.33%)
  • Natural Language Processing (NLP) (13.08%)
  • Scala (Programming Language) (7.84%)
  • Predictive Modeling (16.48%)
  • Predictive Analytics (6.63%)
  • Statistics (32.54%)
  • Statistical Modeling (13.16%)
  • Deep Learning (19.92%)
  • Apache Spark (15.22%)
  • Pandas (Python Package) (7.73%)
  • Scikit-Learn (Python Package) (11.23%)
  • PyTorch (Machine Learning Library) (16.51%)
  • SQL (Programming Language) (42.29%)
  • Unstructured Data (8.85%)
  • Generative Artificial Intelligence (6.71%)
  • Data Science (72.69%)

Necessary Skills

A skill that is requested frequently in this occupation but isn’t specific to it.

  • Statistical Analysis (13.57%)
  • Java (Programming Language) (15.19%)
  • Agile Methodology (12.4%)
  • Git (Version Control System) (7.7%)
  • Workflow Management (8.32%)
  • Operations Research (8.08%)
  • Microsoft Azure (12.97%)
  • Business Intelligence (6.37%)
  • Big Data (14.51%)
  • Software Development (11.51%)
  • Automation (11.1%)
  • Dashboard (9.61%)
  • Amazon Web Services (20.05%)
  • C++ (Programming Language) (13.55%)
  • Extract Transform Load (ETL) (7.14%)
  • Data Engineering (12.25%)
  • Data Visualization (19.42%)
  • Economics (11.31%)
  • Data Modeling (13.93%)
  • Scalability (12.61%)
  • Marketing (7.55%)
  • Project Management (9.14%)
  • Power BI (10.89%)
  • Software Engineering (15.52%)
  • New Product Development (6.74%)
  • Programming Languages (14.02%)
  • Scripting (8.37%)
  • Physics (11.56%)
  • SAS (Software) (9.16%)
  • Data Pipelines (8.81%)
  • Tableau (Business Intelligence Software) (15.9%)
  • Advanced Analytics (10.09%)

Distinguishing Skills

A skill that may distinguish a subset of the occupation.

  • Time Series Analysis And Forecasting (3.22%)
  • AWS SageMaker (3.16%)
  • Machine Learning Methods (2.76%)
  • Data Wrangling (3.77%)
  • Computer Vision (7.08%)
  • Applied Mathematics (8.19%)
  • Anomaly Detection (2.46%)
  • NumPy (Python Package) (5.99%)
  • Decision Tree Learning (3.4%)
  • Apache Hadoop (8.95%)
  • Apache Hive (4.54%)
  • Exploratory Data Analysis (4.56%)
  • Econometrics (3.12%)
  • Statistical Hypothesis Testing (3.85%)
  • Matplotlib (Python Package) (2.44%)
  • Random Forest Algorithm (2.92%)
  • Time Series (3.52%)
  • Reinforcement Learning (3.75%)
  • Feature Engineering (4.18%)
  • Large Language Modeling (4.52%)
  • Keras (Neural Network Library) (4.66%)
  • Databricks (5.36%)
  • Pyspark (4.44%)
  • Text Mining (2.81%)
  • MLOps (Machine Learning Operations) (6.05%)
  • Transformer (Machine Learning Model) (2.98%)

Salary Boosting Skills

A professional who wishes to excel in this career path may consider developing the following highly valued skills. The percentage of job postings that specifically mention each skill is listed.

  • Transformer (Machine Learning Model) (6.23%)
  • Artificial Neural Networks (15.17%)
  • Computer Vision (14.81%)
  • Apache Hadoop (18.74%)
  • Machine Learning Algorithms (21.82%)
  • TensorFlow (38.36%)
  • Reinforcement Learning (7.85%)
  • Feature Engineering (8.76%)
  • Deep Learning (41.69%)
  • Keras (Neural Network Library) (9.75%)
  • Scikit-Learn (Python Package) (23.51%)
  • Databricks (11.22%)
  • PyTorch (Machine Learning Library) (34.55%)

Alternative Job Titles

Sometimes employers post jobs with Data Scientist skills but a different job title. Some common alternative job titles include:

  • Machine Learning Engineer
  • Lead Data Scientist
  • Machine Learning Software Engineer
  • Data Science Intern
  • Principal Data Scientist
  • Modeling and Simulation Engineer
  • Data Analytics Scientist
  • Machine Learning Data Scientist
  • Machine Learning Scientist

Similar Occupations

If you are interested in exploring occupations with similar skills, you may want to research the following job titles. Note that we only list occupations that have at least one corresponding NC State Online and Distance Education program.

Common Employers

Here are the employers that have posted the most Data Scientist jobs in the past year along with how many they have posted.

United States

  • Guidehouse (1029)
  • Meta (925)
  • Apple (893)
  • Capital One (842)
  • Humana (673)
  • Amazon (664)
  • Tiktok (607)
  • Booz Allen Hamilton (598)
  • Leidos (583)
  • Pacific Northwest National Laboratory (491)

North Carolina

  • Wells Fargo (29)
  • Truist Financial (26)
  • Randstad (24)
  • Relx (24)
  • Applied Research Associates (22)
  • Lowe's (22)
  • Eliassen Group (17)
  • Humana (17)
  • Labcorp (15)
  • Allegis Group (15)

NC State Programs Relevant to this Career

If you are interested in preparing for a career in this field, the following NC State Online and Distance Education programs offer a great place to start!