Data Operations Analyst Jobs in Morrisville, NC
Data Operations Analyst jobs in Morrisville, North Carolina are concentrated in the Research Triangle Park corridor, Perimeter Park, and the airport-adjacent business campuses that line Morrisville Parkway, with strong demand across technology services, life sciences, and financial technology. Employers hiring right now include Lenovo, NetApp, and Ensono. See the openings below and apply to the ones that match your experience.
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General Information
- United States of America - North Carolina - Morrisville
Why Work at Lenovo
Description and Requirements
AI Data Intelligence Staff Researcher
Role Overview
Lenovo is seeking an AI Data Intelligence Staff Researcher to develop intelligent, efficient, and reliable AI solutions for Hybrid AI computing and data infrastructure.
In this role, you will use machine learning, deep learning, data science, and software engineering to improve system performance, reliability, scalability, and resource efficiency.
You will collaborate with research, engineering, and product teams to turn innovative AI research into practical solutions for Lenovo's Enterprise AI and Personal AI products.
What You'll Do
AI/ML Research: Research and develop machine learning, deep learning, and AI solutions for computing and data infrastructure.
Data Analysis: Analyze large datasets using statistical methods, predictive modeling, and data science techniques.
System Optimization: Develop AI solutions to improve system performance, resource allocation, workload management, and reliability.
Predictive Analytics: Use time-series analysis, anomaly detection, and forecasting to identify system issues and predict failures.
Advanced AI Research: Explore reinforcement learning, causal inference, knowledge graphs, and graph neural networks.
Software Development: Build scalable data pipelines, AI applications, APIs, and production-quality software.
Research & Testing: Conduct experiments, evaluate model performance, and validate AI solutions.
Collaboration: Work with research, engineering, and product teams to implement AI solutions.
Innovation: Contribute to research publications, patents, technical reports, and reusable software.
Minimum Qualifications
Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
Strong understanding of machine learning, deep learning, statistical modeling, or data science.
Programming experience with Python, C++, or a similar language.
Experience with AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, NumPy, or pandas.
Knowledge of probability, statistics, linear algebra, and optimization.
Relevant AI/ML experience through academic projects, internships, or research.
Strong analytical, problem-solving, programming, and communication skills.
Candidates should also have knowledge or experience in at least two of the following areas:
Machine learning or deep learning
Statistical modeling or predictive analytics
Time-series analysis or signal processing
Anomaly detection or fault diagnosis
Causal inference or optimization
Knowledge graphs or graph machine learning
Reinforcement learning
Large-scale data analytics or AI systems
Preferred Qualifications
Research or project experience in advanced machine learning, deep learning, generative AI, or reinforcement learning.
Experience with forecasting, anomaly detection, causal inference, graph neural networks, or predictive analytics.
Experience building scalable AI applications or production-quality software.
Familiarity with cloud platforms, distributed computing, GPU computing, or AI infrastructure.
Research publications, patents, open-source contributions, internships, or significant academic projects.
- United States of America - North Carolina - Morrisville
- United States of America
- United States of America - North Carolina
- United States of America - North Carolina - Morrisville
General Information
- United States of America - North Carolina - Morrisville
Why Work at Lenovo
Description and Requirements
AI Data Intelligence Staff Researcher
Role Overview
Lenovo is seeking an AI Data Intelligence Staff Researcher to develop intelligent, efficient, and reliable AI solutions for Hybrid AI computing and data infrastructure.
In this role, you will use machine learning, deep learning, data science, and software engineering to improve system performance, reliability, scalability, and resource efficiency.
You will collaborate with research, engineering, and product teams to turn innovative AI research into practical solutions for Lenovo's Enterprise AI and Personal AI products.
What You'll Do
AI/ML Research: Research and develop machine learning, deep learning, and AI solutions for computing and data infrastructure.
Data Analysis: Analyze large datasets using statistical methods, predictive modeling, and data science techniques.
System Optimization: Develop AI solutions to improve system performance, resource allocation, workload management, and reliability.
Predictive Analytics: Use time-series analysis, anomaly detection, and forecasting to identify system issues and predict failures.
Advanced AI Research: Explore reinforcement learning, causal inference, knowledge graphs, and graph neural networks.
Software Development: Build scalable data pipelines, AI applications, APIs, and production-quality software.
Research & Testing: Conduct experiments, evaluate model performance, and validate AI solutions.
Collaboration: Work with research, engineering, and product teams to implement AI solutions.
Innovation: Contribute to research publications, patents, technical reports, and reusable software.
Minimum Qualifications
Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Electrical Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience.
Strong understanding of machine learning, deep learning, statistical modeling, or data science.
Programming experience with Python, C++, or a similar language.
Experience with AI/ML frameworks such as PyTorch, TensorFlow, scikit-learn, NumPy, or pandas.
Knowledge of probability, statistics, linear algebra, and optimization.
Relevant AI/ML experience through academic projects, internships, or research.
Strong analytical, problem-solving, programming, and communication skills.
Candidates should also have knowledge or experience in at least two of the following areas:
Machine learning or deep learning
Statistical modeling or predictive analytics
Time-series analysis or signal processing
Anomaly detection or fault diagnosis
Causal inference or optimization
Knowledge graphs or graph machine learning
Reinforcement learning
Large-scale data analytics or AI systems
Preferred Qualifications
Research or project experience in advanced machine learning, deep learning, generative AI, or reinforcement learning.
Experience with forecasting, anomaly detection, causal inference, graph neural networks, or predictive analytics.
Experience building scalable AI applications or production-quality software.
Familiarity with cloud platforms, distributed computing, GPU computing, or AI infrastructure.
Research publications, patents, open-source contributions, internships, or significant academic projects.
- United States of America - North Carolina - Morrisville
- United States of America
- United States of America - North Carolina
- United States of America - North Carolina - Morrisville
See All 18 Data Operations Analyst Jobs in Morrisville
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Find Data Operations Analyst JobsData Operations Analyst Job Market in Morrisville
Who's Hiring
Top Industries Hiring
- Technology & Software
Data Operations Analyst Jobs in Morrisville: Frequently Asked Questions
How do I get a data operations analyst job in Morrisville?
Focus your search on the technology services firms, contract research organizations, and fintech employers clustered in Research Triangle Park and Perimeter Park, as these sectors drive the bulk of local openings. Candidates who can demonstrate hands-on experience with data pipeline tools, ETL workflows, or data quality processes stand out in Morrisville's competitive market. Tailoring your resume to show familiarity with cloud platforms and relational databases gives you a clear edge with the enterprise and SaaS employers that dominate this corridor.
Which companies hire data operations analysts in Morrisville?
Employers hiring data operations analysts in Morrisville right now include Lenovo, NetApp, and Ensono, based on current listings on Migrate Mate as of November 2026. Morrisville's employer base skews toward large enterprise technology firms, life sciences companies, and financial services operations that maintain significant data infrastructure teams locally.
Are there remote data operations analyst jobs in Morrisville?
Yes, data operations analyst work is well-suited to remote arrangements since most core tasks involve systems access and data platforms rather than physical presence. About 92% of data operations analyst openings tied to Morrisville are remote or hybrid as of November 2026, reflecting broad flexibility across the local market. Analytical and reporting functions tend to be the most remote-eligible, while roles involving on-site data infrastructure or lab-adjacent operations at life sciences employers lean more toward in-person schedules.
How can I get a data operations analyst job in Morrisville with little or no experience?
The most realistic entry path in Morrisville is through a data analyst associate or data coordinator role at one of the technology services or contract research organizations in Research Triangle Park, which regularly hire candidates building foundational skills. Entry-level positions in data quality, reporting support, or business intelligence support offer a direct lateral move into a data operations function. Candidates who complete a certificate in SQL, Python, or a major cloud data platform are consistently better positioned with Morrisville's enterprise and SaaS employers, even without a traditional four-year data background.
Which industries hire the most data operations analysts in Morrisville?
The sectors hiring the most data operations analysts in Morrisville are Technology & Software, based on current listings on Migrate Mate as of November 2026. Morrisville's position at the edge of Research Triangle Park draws major operations and data centers for these industries, creating sustained local demand for analysts who can manage high-volume data workflows.
Related Jobs in North Carolina
See All 18 Data Operations Analyst Jobs in Morrisville
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