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Data Scientist

Posted about 1 month ago

OfficeHerndon

🔒 Clearance & Citizenship Requirements

This position requires U.S. Citizenship and an active TS/SCI security clearance with Full Scope Polygraph. Candidates who do not currently hold these credentials will not be considered.


REQUIRED SKILLS

• Demonstrated experience using Python and SQL Developer programming language to extract, transform, format, and load data from a variety of sources/systems.

• Demonstrated experience working with data pipelines.

• Demonstrated experience identifying and obtaining datasets needed to respond to requests.

• Demonstrated experience performing advance analytics (e.g., Artificial Intelligence)

• Demonstrated experience visualizing data and creating dashboards using Tableau and Tableau Prep.

• Demonstrated experience developing user-friendly, easy to understand reports and dashboards.

• Demonstrated experience using Microsoft Excel to work with data and PowerPoint to create briefing decks.

• Demonstrated experience communicating (written/oral) with clients and team members.
DESIRED SKILLS

• Demonstrated experience working in a cloud and data lake environment.

• Demonstrated experience evaluating, identifying, and implementing AI models.

• Demonstrated experience performing basic consulting with clients in order to clarify the needs of the clients.

• Demonstrated experience with the Sponsor's data systems as they relate to language, learning, and/or human resources (HR).

• Demonstrated experience working with a learning management system.

• Demonstrated experience using JIRA.
Job details
Workplace
Office
Location
Herndon

Kepora is a Woman-Owned, software engineering firm who specializes in frameworks/platforms like spark, tensorflow, aws, and other tools like Splunk and Tableau to meet their customers’ needs. Kepora has experience with cutting edge data science to help customers get the information they need.

Employees
8
Industry
IT Services and IT Consulting
Founded
2012
Specialties
Big Data and Cloud Computing, Enterprise Software and Web Development, DevOps/Automated Testing, and Data Science

Key team members

Joe McMahon

Joe McMahon

Maewanda Burks

Maewanda Burks

Tim Schneider

Tim Schneider

Mike Castle

Mike Castle

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