Find & Apply For Data Scientist Jobs In Wake, North Carolina
Data Scientist jobs in Wake, North Carolina involve analyzing data, building predictive models, and interpreting results to help businesses make data-driven decisions. Responsibilities include cleaning and organizing data, identifying trends, and communicating findings to stakeholders. Below you can find different Data Scientist positions in Wake, North Carolina.
Jobs in Wake
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Principal Data Scientist – Aetna Medicare
CVS Health
Wake, NC
Principal Engineer for Oracle on RHEL
Red Hat
Wake, NC
AI Operations Advisory Researcher
Lenovo
Wake, NC
AIOps Advisory Researcher
Lenovo
Wake, NC
Programmeur principal de rendu en apprentissage automatique (« machine learning »)
Epic Games
Wake, NC
Technical Data Scientist/ETL Engineer
GovCIO
Wake, NC
Data Scientist AV Safety
General Motors
Wake, NC
Data Modeler/Analyst
First Citizens Bank
Wake, NC
Quant Analyst – US Mortgage Models
UBS
Wake, NC
Lead Data Scientist
Martin Marietta
Wake, NC
Principal Data Scientist
Lumen Technologies
Wake, NC
Advanced Data Scientist – Utilities Industry
Honeywell International
Wake, NC
Snowflake Data Modeler
Hexaware Technologies
Wake, NC
Data Science Support Specialist
North Carolina State University
Wake, NC
Principal Software Quality Engineer AI Model Serving
Red Hat
Wake, NC
Senior Data Scientist
Beacon Hill Staffing Group
Wake, NC
Data Science Platform Admin
Cognizant Technology Solutions
Wake, NC
Data Scientist
Actalent
Wake, NC
Data Scientist, Staff
Lyric
Wake, NC
Staff Data Scientist, Product, Workspace
Google
Wake, NC
Data Developer – Model Implementation
Ally
Wake, NC
Staff Capacity Planning Developer & Modeler (ClickHouse)
CVS Health
Wake, NC
Data Scientist
Actalent
Wake, NC
Senior Producer (Machine Learning)
Epic Games
Wake, NC
AI Trainer – Mathematics
Unclassified
Wake, NC
Data Scientist – Clinical Risk Modeling
CVS Health
Wake, NC
Sr Model Risk Analyst
First Horizon
Wake, NC
Senior Analyst, Model Validation
Ally
Wake, NC
Sr. Clinical Data Scientist
Teleflex
Wake, NC
Cybersecurity Data Scientist Automation & AI (Remote)
Merck & Co.
Wake, NC
Data Scientist
Q2Ebanking
Wake, NC
Quantitative Risk Modeling Data Analyst
UBS
Wake, NC
Specialist, Data Scientist, Automation & AI (Remote)
Merck & Co.
Wake, NC
BI Engineer
General Motors
Wake, NC
Data Science Education Postdoctoral Scholar
North Carolina State University
Wake, NC
Senior Data Scientist, Go-To-Market Strategy & Incentives
Red Hat
Wake, NC
Model Risk Analyst II
First Horizon
Wake, NC
Quantitative Analyst I-Risk Rating Model Development
First Citizens Bank
Wake, NC
DATA SCIENTIST
Unisoft Solutions
Wake, NC
Senior Data Scientist I
Relx
Wake, NC
Data Scientist – Care Delivery Growth
CVS Health
Wake, NC
Data Modeler
Infosys
Wake, NC
Data Scientist
Ssi People
Wake, NC
Latest Jobs in Wake
Salary Information & Job Trends In this Region
Data Scientists in Wake, North Carolina play a crucial role in analyzing and interpreting complex data to inform business decisions and strategies. - Entry-level Data Scientist salaries range from $60,000 to $80,000 per year - Mid-career Data Analyst salaries range from $80,000 to $100,000 per year - Senior Data Scientist salaries range from $100,000 to $130,000 per year The history of Data Scientists in Wake, North Carolina can be traced back to the rise of big data and the need for professionals who can make sense of vast amounts of information. As technology and data collection methods advanced, the demand for skilled data scientists grew exponentially. The evolution of Data Scientists in Wake, North Carolina has seen a shift towards more specialized roles and expertise in specific industries. Data scientists are now required to have a deep understanding of machine learning, artificial intelligence, and data visualization techniques to stay competitive in the field. Current trends in Data Science in Wake, North Carolina include a focus on ethical data usage, transparency in algorithms, and the integration of data science into all aspects of business operations. Data scientists are also increasingly expected to have strong communication skills to effectively convey complex findings to non-technical stakeholders.
