Data Scientist

AMS Staffing Inc.
AMS Staffing Inc.

  • US
  • Post Date: 26 August 2020
  • Views 5
Job Overview

Please send resume in Word format to if you are interested in this Data Scientist role. This Data Scientist role is a long-term contract with our client. Due to COVID the initial period of the engagement will be remote work before moving to onsite when facilities reopen. Onsite work can be based out of Raleigh, NC 27676. Job Title Data Scientist Location Raleigh, North Carolina 27676 Payrate 70 – 80hr (W2), 85 – 95hr (1099) Salary 130K to 150K range excellent benefits Term Contract or Permanent Apply (here) httpsloxo.cojob456036?t1598292246998 httpsloxo.cojob456036?t1598292246998 Please reply with an updated resume in Microsoft Word format. For candidates who possess 10 years of experience or more, this position will pay an hourly rate of 70-80hr. on a W2 basis w option of benefits, NO PTOHoliday, or an annual salary of 130K-150K on a W2 basis w options of Benefits 2 weeks PTO and 2 weeks Holiday, or an hourly rate of 85 – 95hr. on a 10-99CTC basis. This program only accepts s, or EAD Holders. Visa Holders will not be considered due to Security Clearance being required. In addition, you MUST be able to pass a criminal background check. The security clearance for this program requires the selected candidate to have resided in the US for the past five years. Job Description Our client is seeking a Data Scientist to join the Service Management Office in the form of service level management, problem resolution and management by ensuring that processes are in place to identify root cause and anomalies of issues and corrective actions needed are tracked through resolution Activities will include Analyze and Model Incident, Problem and Change trends to identify opportunities for service improvements Performs and interprets data studies and experiments concerning new data sources or new uses for existing data sources Develops analytics using data mining, statistical, forecasting, and modeling techniques Develops prototypes, proof of concepts, algorithms, predictive models, and custom analysis Determines new ways to improve automation through machine learning leveraging data output, aggregation, analytics, algorithms, orchestration, machine learning and visualization. Assists in identifying right tools for improvement to support of automation and predictive learning external to the organization bull Provides guidance and technical support to executives, contractors and employees in other functional areas

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