Martian Wall | Data Scientist | Cary, NC | United States | BigDataKB.com | 2023-01-27

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Job Location: Cary, NC

Job Detail:

Data Scientist

W2

Cary, NC.

It is 2 days onsite in a week and 3 days remote.

12 Months Contract.

Our client is looking out for a Data Scientist who will be responsible for modeling complex business problems, discovering business insights, and identifying opportunities using machine learning, statistical, algorithmic, data mining, and visualization techniques.

KNOWLEDGE, SKILLS, ABILITIES/MINIMUMREQUIREMENTS/COMPETENCIES:

• Strong analytical skills with working knowledgeof basic statistical, predictive and optimization models

• Strong knowledge of Python or other statisticaltool language (SAS, R, etc.)

• Strong problem-solving skills

• Strong data preparation skills; be able to access,transform and manipulate Railinc and external customer data in its base form(e.g. Postgres, Snowflake, JSON).

• Strong knowledge of data visualization tools(e.g., matplotlib, SHAP, Quicksight) to present models and results to internaland external stakeholders

• Strong verbal and written communication skills

• Knowledge of machine learning models a plus

• Knowledge of big data engineering toolsets aplus

• Ability to work effectively with clients, ITmanagement, business management, project managers, and IT staff

• Ability to manage multiple activities in adeadline-oriented environment; highly organized and flexible

• Ability to work independently and jointly inunstructured environments in a self-directed way

• Ability to take a leadership role on engagementsand with customers

• Strong teamwork skills and ability to workeffectively 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, operationsresearch, business, economics) with relevant practical experience

• OR

• 5+ years of relevant work experience in aprofessional environment

• Advanced degree in quantitative field preferred

Apply Here

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