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Data Scientist

Perfict

Role overview

Qualifications

  • Masters degree plus 3 years of related experience
  • Recent experience with Python to manipulate data and draw insights from large data sets
  • Experience creating data architectures
  • Expert level SQL

Responsibilities

  • Support data-Science and other analytics as needed
  • Develop SQL queries and data sets
  • Develop business and client facing reports

About the company

Perfict logo

Perfict

Staffing & Recruiting

Perfict Global is an IT consulting services provider, focused on providing innovative and successful business workforce solutions. Providing specialized staffing and recruitment solutions for our clients, we have quickly become the technology specialist staffing and Recruitment Company of choice for many employers across the US. Our talented team of recruitment professionals serve as more than just a supplier to our customers, we act as a trusted business partner and work as an extension of our client's internal teams, offering the following solutions: • Temporary Staffing • Temp-to-permanent Placements • Permanent Recruitment • Specialized Executive Search

Company details

Company typeScaleup
IndustryStaffing & Recruiting
Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.

We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!

Job description:

Responsibilities

  • Support data-Science and other analytics as needed.
  • Develop SQL queries and data sets
  • Develop business and client facing reports

Required Skills

  • Masters degree + 3 years of related experience
  • Recent experience with Python to manipulate data and draw insights from large data sets
  • Experience creating data architectures
  • Building statistical models
  • Visualization experience with Power BI
  • Variety of machine learning techniques (clustering, decision tree learning, etc.) and understanding of their real-world advantages drawbacks.
  • Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.)
  • Statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Expert level SQL
  • Azure
  • Databricks
  • Healthcare

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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