At a glance
Location: US-TX-Dallas
Posted: 12/11/2019
Closing: 1/10/2020
Degree: Not Specified
Employment Type: Full-Time
Experience: Not Specified
Data Scientist
Robert Half Technology
Job description
Ref ID: 04951-0011057240

Classification: Data Scientist

Compensation: $85000.00 to $98000.00 yearly

Please email resume to for consideration.

Robert Half Technology's client in Uptown Dallas is seeking a Data Scientist to join their organization as a direct full-time, full time employee.

Summary: Will serve as an internal consultant, collaborating across teams and departments and using modern analytics technology to enhance the company’s ability to assess contractor risk.
Deliverables will include strong data visualizations, insightful statistical analyses, advanced analytical models, and presentation of impactful data narratives to internal and external customers. The employee will also use analytical and technology skills to optimize internal data operations through business process automation and enhanced operational reporting.

Primary Responsibilities:
• Use data technology skills to gather and understand large data sets
• Collaborate with subject matter experts to gain greater context to data and related processes
• Provide reliable access to high quality data through dashboards and reports
• Present summarized procedures, results, and business recommendations
• Participate in researching new predictive analytics methods and visualization approaches that facilitate decision making and risk scorecarding
• Support and participate in the organization’s Continual Improvement Program to conform to ISO 9001 requirements by complying with the Quality Policy and procedures and meeting QMS objectives
• All employees have a detail oriented duty to provide any information related to security issues, incidents or situations that present a potential security risk to the different teams.
Job requirements
Requirements • Graduate degree (Master’s or above) in Data Science, Analytics, Operations Research, MIS, Applied Statistics or related quantitative field • Must have previous work experience as a Data Scientist to be considered Knowledge/Skills • Proficient in database and data manipulation tools – SQL (and add-on services), Alteryx • Proficient in computational programming, modeling and machine learning tools – Python, SAS, R, Weka • Proficient in data visualization tools – Tableau, Power BI, Qlik • Demonstrates initiative, entrepreneurialism, and creativity • Ability to make decisions in ambiguous environment • Ability to interpret data and iterate approaches to identify best solutions

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