Data Scientist

We love meeting great Talent! This role isn’t currently open, but feel free to submit your resume and information. We may contact you in the future regarding an open role if we see a potential match.

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As a Data Scientist, you will be intricately involved in running analytical experiments in a methodical manner and will regularly evaluate alternate models via theoretical approaches.

This role is based in our headquarters in Raleigh, NC.

Responsibilities

• Responsible for the operational and/or financial data management, acquisition and analysis.
• Provide statistical analysis, data modeling and recommendations on specific courses of action.
• Prepare complex reports and studies for a variety of uses including cost of recruitment services, quality improvement, enhancing operations and addressing identified issues.
• Design and modify database applications in order to develop sophisticated solutions to data needs.
• Work with business units to ensure consistency with enterprise reporting standards and financial goals.
• Utilize advanced information access tools, relational databases and statistical analysis software.
• Determine correct datasets and variables.
• Research and develop statistical learning models for data analysis.
• Collect large sets of data- structured and unstructured, from different sources.
• Clean and validate data ensuring accuracy, completeness, and uniformity.
• Build and apply models and algorithms to mine data.
• Tune and maintain models for validation and optimization
• Implement new statistical or other mathematical methodologies as needed for specific models or analysis.
• Analyze data to recognize patterns and trends.
• Interpret data to find solutions.
• Communicate findings to stakeholders using visualization tools.

Requirements

• Master’s Degree in Computer Science, Statistics, Applied Math or related field
• 2+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics
• Background in data mining and statistical analysis
• Able to understand various data structures and common methods in data transformation
• Excellent pattern recognition and predictive modeling skills
• Experience with programming languages such as R, SQL, Python and Visualization tools such as ggplot2, Tableau, Oracle OAC
• Knowledge of AI, ML, and Deep Learning to build powerful regression and classification-based predictive models
• Critical thinking
• Comfort with math
• Data Wrangling
• Ability to work with unstructured data