Data Scientist (TS/SCI with Poly Required)

GCI Careers • Herndon, VA

1d

About The Position

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry. At GCI, we solve the hard problems. As a Data Scientist, a typical day will include the following duties: Utilize SQL Developer and Python programing languages to extract and transform talent data including the implementation of business rules for how the data needs to be prepared for analytics. Use advanced analytics (e.g., AI/ML) in order to respond to complex talent questions, especially as they relate to language and learning. Utilize data visualization tools and dashboards to appropriately convey data and respond to leadership requests. Develop user-friendly, easy to understand reports (e.g., graphs, charts, briefing slides) for clients to meet business needs. Create, enhance, and maintain data visualizations using Tableau and other tools. (This includes dashboards.) Assist in the collection of data from a variety of sources and understand the relationship between data sets. Provide accurate analyses and results. Evaluate the use of Al models (e.g., Large Language Models), propose improvements, and identify new models for use in responding to learning and language needs. Consult with clients to clarify the question they are trying to answer and their analytic needs.

Requirements

• 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.
• A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.

Nice To Haves

• 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 customer'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.

Responsibilities

• Utilize SQL Developer and Python programing languages to extract and transform talent data including the implementation of business rules for how the data needs to be prepared for analytics.
• Use advanced analytics (e.g., AI/ML) in order to respond to complex talent questions, especially as they relate to language and learning.
• Utilize data visualization tools and dashboards to appropriately convey data and respond to leadership requests.
• Develop user-friendly, easy to understand reports (e.g., graphs, charts, briefing slides) for clients to meet business needs.
• Create, enhance, and maintain data visualizations using Tableau and other tools. (This includes dashboards.)
• Assist in the collection of data from a variety of sources and understand the relationship between data sets.
• Provide accurate analyses and results.
• Evaluate the use of Al models (e.g., Large Language Models), propose improvements, and identify new models for use in responding to learning and language needs.
• Consult with clients to clarify the question they are trying to answer and their analytic needs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed