Job Location: Cary, NC
Job Detail:
Role: Data Scientist
Location: Cary, NC (This role will follow hybrid work schedule – Should be in the office every Tuesday and Wednesday and as required by the manager)
Duration: Long term
Direct Client
SUMMARY/OBJECTIVE:
Responsible for modeling complex business problems, discovering business insights and identifying opportunities using machine learning, statistical, algorithmic, data mining, and visualization techniques. In addition to advanced data analytics skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results and recommendations based on the model/analysis to both technical and non-technical audiences.
KNOWLEDGE, SKILLS, ABILITIES/MINIMUM REQUIREMENTS/COMPETENCIES:
Strong analytical skills with working knowledge of basic statistical, predictive and optimization models
Strong knowledge of Python or other statistical tool language (SAS, R, etc.)
Strong problem-solving skills
Strong knowledge of data visualization tools (e.g., matplotlib, SHAP, Quick sight) to present models and results to internal and external stakeholders
Strong verbal and written communication skills
Knowledge of machine learning models a plus
Knowledge of big data engineering toolsets a plus
Ability to work effectively with clients, IT management, business management, project managers, and IT staff
Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexible
Ability to work independently and jointly in unstructured environments in a self-directed way
Ability to take a leadership role on engagements and with customers
Strong teamwork skills and ability to work effectively with multiple internal customers
EDUCATION, EXPERIENCE, CERTIFICATION/TRAINING:
Strong technical background with programming, mathematics, and statistics experience
Bachelor’s degree in quantitative field (e.g., applied mathematics, statistics, physics, computer science, operations research, business, economics) with relevant practical experience
OR
5+ years of relevant work experience in a professional environment
Advanced degree in quantitative field preferred
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