ZipRecruiter

Log In

1

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

Jobtailor

Data Scientist

Raleigh, NC · On-site

$110 - $170/hr

Bachelor's degree or equivalent in Statistics, Applied Mathematics, Physics, Engineering, Data Science, or a related quantitative field. * 3+ years of experience (with Bachelor's), 2+ years of ...

Pwc

AI & GenAI Data Scientist-Director

Raleigh, NC · On-site

$155K - $410K/yr

... Bachelor's degree - At least 12 years of experience What Sets You Apart - Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · Hybrid

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

SAS

Data Scientist (Emerging Careers)

Cary, NC · On-site

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

Sas

Data Scientist (Emerging Careers)

Cary, NC · On-site

$100 - $140/hr

Master's degree in Computer Science, Engineering, Data Science or related quantitative field with at least 3 years of relevant full-time experience. * Strong research background in computer vision or ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/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

$125K - $209K/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 +1

$115K - $192K/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.

Clever Devices Ltd.

Associate

Apex, NC · On-site

$70K - $75K/yr

Clever Devices is seeking a recent college graduate with a Data Science degree to join our team. The Associate, Data Science will perform data analysis of Clever Devices customers related to specific ...

Pwc

Payer Healthcare Data Scientist, Manager

Raleigh, NC · On-site

$99K - $232K/yr

... Degree in Statistics, Computer Science, Applied Mathematics, Biotechnology preferred - Prior ... data integration Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

previous page

Showing results 41-60

All JobsData Science Degree JobsData Science Degree Jobs in Raleigh, NC

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 Aug 10, 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 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 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 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 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 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:
Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Data Scientist

Jobtailor

Raleigh, NC • On-site

$110 - $170/hr

Other

Posted 5 days ago

Job description

  • Design and implement statistical and machine learning models for time-series forecasting, anomaly detection, and asset health scoring across utility networks.
  • Build and maintain end-to-end ML pipelines on Databricks from feature engineering and model training to validation, deployment, and monitoring in production.
  • Apply classical statistical methods (GLMs, GAMs, mixed-effects models, Bayesian inference) alongside modern ML techniques (ensemble approaches, network analysis, neural networks) to solve grid operations problems.
  • Develop predictive maintenance and degradation models for utility infrastructure using telemetry and SCADA data at scale.
  • Translate ambiguous business problems into well-defined modeling problems with appropriate statistical frameworks - e.g., knowing when a LM/GLM is sufficient and when gradient boosting or deep learning is warranted.
  • Implement model monitoring, drift detection, and automated retraining workflows to maintain model performance over time.
  • Contribute to load forecasting, demand response optimization, and outage prediction systems.
  • Ensure model interpretability and explainability for utility stakeholders and regulatory compliance.
  • Contribute to internal knowledge-sharing on statistical best practices.
Requirements
  • Bachelor’s degree or equivalent in Statistics, Applied Mathematics, Physics, Engineering, Data Science, or a related quantitative field.
  • 3+ years of experience (with Bachelor’s), 2+ years of experience (with Masters), or 1+ years (with PhD) in applied statistical modeling and machine learning, with a track record of deployed production models.
  • Strong programming skills in Python (PySpark, pandas, NumPy, scikit-learn, statsmodels, XGBoost), R (tidyverse, lme4, glmmTMB, glmnet, mgcv), and SQL for large-scale data analysis.
  • Experience with time-series modeling (ARIMA, state-space models, LSTM, Darts, or similar) on high-volume meter data.
  • Exposure to Databricks ML ecosystem (Feature Store, Experiment Track, Model Serving, Mosaic AI) and MLflow.
  • Familiarity with distributed computing concepts - PySpark, Optuna/Ray, Spark SQL, partitioning strategies, and medallion architecture.
  • Understanding of software engineering principles - version control (Git), testing, CI/CD for ML systems.
  • Ability to communicate complex statistical/ML concepts to non-technical stakeholders.
Core Competencies

Demonstrates expertise in statistical modeling and machine learning for time-series forecasting and anomaly detection, with a strong focus on building and maintaining ML pipelines and ensuring model performance and interpretability. Proficient in translating business problems into statistical frameworks and communicating complex concepts to stakeholders.

Highest-signal resume keywords
  • Statistical Modeling
  • Machine Learning
  • Python Programming
  • Time-Series Modeling
  • Databricks ML Ecosystem
ATS Optimization KeywordsHard Skills
  • Statistical Methods
  • Machine Learning Techniques
  • Feature Engineering
  • Model Training
  • Model Validation
  • Model Deployment
  • Model Monitoring
  • Anomaly Detection
  • Predictive Maintenance
  • Data Analysis
Soft Skills
  • Communication
  • Problem-Solving
Industry Keywords
  • Utility Networks
  • Telemetry Data
  • SCADA Data
  • Regulatory Compliance
  • Grid Operations
Tools & Technologies
  • Databricks
  • PySpark
  • SQL
  • MLflow
  • Git
#J-18808-Ljbffr

Apply