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Mesons Technologies INC | Data Scientist | Cary, NC | United States | BigDataKB.com | 2023/01/18

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18/01/2023

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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