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Professional-Data Scientist-BIG DATA

AT&T


Location:
Plano, TX
Date:
27 Jun 2017
2017-06-272017-07-27
Job Code:
att4-4401650
Categories:
  • Engineering / Architecture / Quality
  • Forestry / Mining / Oil & Gas
  • Management / Supervisor
  • Marketing / Advertising / PR
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Job Details

Company AT&T

Job Title Professional-Data Scientist-BIG DATA

Jobid att4-4401650

Location: Plano, TX, 75026, USA

Description Overall Purpose: The Data Scientist will be responsible for designing
and implementing processes and layouts for complex, large- scale data
sets used for modeling, data mining, and research purposes.



Key
Roles and Responsibilities: This position will work closely with the IT,
Sales and Marketing organizations functional leads to formulate
hypothetical insights and work through the life cycle of delivering
these insights to production. Design and build large and complex data
sets, from spurious sources while thinking strategically about uses of
data and how data use interacts with data design. Design and implement
statistical data quality procedures around new data sources. Perform
data studies and data discovery around new data sources or new uses for
existing data sources. Implement any software required for accessing and
handling data appropriately. Implement and hand off data checking and
updating procedures to teams. Perform statistical analyses with existing
data sets in statistical packages. Visualize and report data findings
creatively in a variety of visual formats that appropriately provides
insights to the organization. Research and implement software and
hardware related to mobile technology.



Job Contribution:
Intermediate level technical professional. Subject matter technical
knowledge within a discipline and sound understanding of ATT
technologies.



Education: Preferred Bachelors of Science in
Computer Science, Math or Scientific Computing; Data Analytics, Machine
Learning or Business Analyst nanodegree; or equivalent experience.



Experience:
Typically requires 5-8 years experience or PhD or Masters in an
approved field with no minimum years of relevant experience.
Supervisory: No.






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