Posted today
Intel Agency (NSA, CIA, FBI, etc)
Mid Level Career (5+ yrs experience)
Unspecified
Full Scope Polygraph
IT - Data Science
McLean, VA (On/Off-Site)
Data Scientist
TS-SCI-Fullscope Poly REQUIRED
Location: McLean, VA.
The Contractor Team shall work closely with other teams, including data science and programming teams within the Sponsor’s broader mission component.
The Contractor Team shall take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements.
• The Contractor Team shall develop and manage data processing ETL pipelines.
• The Contractor Team shall provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consistent with established use cases.
• The Contractor Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
• The Contractor Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
• The Contractor Team shall identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission.
• The Contractor Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management.
• The Contractor Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction.
REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
• Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
• Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
• Demonstrated experience with a range of Python packages and graph databases.
• Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
• Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
• Demonstrated experience leading complex data science teams.
• Demonstrated experience with machine learning solutions.
• Demonstrated experience working with foreign and domestic partners of the Sponsor.
• Demonstrated experience writing custom algorithms for data exploitation.
• Demonstrated experience with complex graph database queries.
• Demonstrated experience working in high operational tempo environments.
TS-SCI-Fullscope Poly REQUIRED
Location: McLean, VA.
The Contractor Team shall work closely with other teams, including data science and programming teams within the Sponsor’s broader mission component.
The Contractor Team shall take the Sponsor’s mission needs and convert those into technical milestones consistent with the Sponsor’s data science requirements.
• The Contractor Team shall develop and manage data processing ETL pipelines.
• The Contractor Team shall provide ad hoc trainings to Sponsor’s data users on custom tools and data exploitation consistent with established use cases.
• The Contractor Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
• The Contractor Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
• The Contractor Team shall identify existing or emerging data science workflows within the Sponsor’s broader office that would accelerate the Sponsor’s data science mission.
• The Contractor Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor’s technical goals for data management.
• The Contractor Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor’s direction.
REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
• Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
• Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
• Demonstrated experience with a range of Python packages and graph databases.
• Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
• Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE
• Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
• Demonstrated experience leading complex data science teams.
• Demonstrated experience with machine learning solutions.
• Demonstrated experience working with foreign and domestic partners of the Sponsor.
• Demonstrated experience writing custom algorithms for data exploitation.
• Demonstrated experience with complex graph database queries.
• Demonstrated experience working in high operational tempo environments.
group id: 91125283
