1

Data Science Degree Jobs in Raleigh, NC (NOW HIRING)

Required : • Minimum of 13 full years of experience with a degree. • Minimum of 17 years of experience without a degree. • Some academic criteria for data science - Ex. Data science, statistics ...

Bachelor's or Master's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics). * Strong experience in machine learning, NLP, and LLM-based modeling. * Proven ...

Typically requires a Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field and 8 years of related experience; or an advanced degree with 6+ years of experience; or ...

Typically requires a Bachelor's degree in Data Science, Computer Science, Statistics, or a relevant field and 8 years of related experience; or an advanced degree with 6+ years of experience; or ...

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Analytics, or related field and three (3) years of experience in the job offered or related role. * Must have three (3) years of ...

Embedded Data Scientist

Morrisville, NC · On-site

$130K - $150K/yr

Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering, or a related discipline * Willingness and interest in learning specification, design, and manufacture of ...

Bachelor's degree in Mathematics, Data Science, Computer Science, Computer Engineering or related discipline About Wasatch Photonics We are a fast‑growing company with several market‑leading ...

Lead Data Scientist

Raleigh, NC · On-site

$104.90 - $174.70/hr

## Lead Data ScientistApplylocations: Raleigh, NCtime type: Full timeposted on: Posted Yesterdayjob ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field* Experience ...

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

Showing results 21-40

Data Science Degree information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do data science degree jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science degree in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

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

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

What are popular job titles related to Data Science Degree jobs in Raleigh, NC?

For Data Science Degree jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Data Science Degree jobs in Raleigh, NC look for?

The top searched job categories for Data Science Degree jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Data Science Degree jobs?

Cities near Raleigh, NC with the most Data Science Degree job openings:

Infographic showing various Data Science Degree job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 91% Full Time, 6% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,181 per year, or $57.3 per hour.

Full-time

Re-posted 16 days ago


Job description

Job Summary:
PlanIT Group, LLC is seeking a Data Scientist to identify business trends and solve problems through complex data analysis. The role involves interpreting results from multiple sources, designing and implementing business solutions, and preparing data for analysis.
Responsibilities:
• Identifies business trends and problems through complex big data analysis.
• Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently.
• Designs, develops and implements the most valuable business solutions for the organization.
• Prepares big data, implements data models and develops database to support the business solutions.
• Task #1: Data Analysis and Visualization Development
• Deliverables will be tailored to each project and may include:
• Rapid analysis scripts
• Visualization prototypes / models
• Interactive dashboards
• Visioning session materials
• Analysis reports and presentations
• Project plans and documentation
• The deliverable shall meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
• Analysis techniques are appropriate for the given need and available data
• Project timelines are met within a reasonable variance due to uncertainty of the individual project
• Project documentation is accurate to the analysis findings and free of grammatical errors
• Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
• Task #2: Modeling and Optimization
• Deliverables are project-dependent and may include:
• Mathematical optimization models
• Source code and/or scripting
• Translational documentation for use in analytical and visualization product development
• Proposal presentations
• Project result documentation and presentations
• The deliverable must meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
• Model parameters and functions are appropriate for the given need and available data
• Project timelines are met within a reasonable variance due to uncertainty of the individual project
• Project documentation is accurate to the analysis findings and free of grammatical errors
• Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
Qualifications:
Required:
• Minimum of 13 full years of experience with a degree.
• Minimum of 17 years of experience without a degree.
• Some academic criteria for data science – Ex. Data science, statistics, or experimental psych.
• Good communication skills.
• Proven ability to work in a variety of industries, indicating ability to be a quick study when confronted with the complex environment.
Preferred:
• A degree from an accredited College/University in the applicable field of services is preferred.
• Skilled in SQL, Python or R, preferably both.
Company:
PlanIT Group is an IT and engineering professional services company which provides top-tier talent to various commercial and government customers. Founded in 2010, the company is headquartered in Charlotte, USA, with a team of 51-200 employees. The company is currently Growth Stage.