Today
Top Secret/SCI
Unspecified
Full Scope Polygraph
IT - Software
Reston, VA (On-Site/Office)
Candidate MUST possess a TS/SCI clearance with Intel Polygraph
Overview:
The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems
Data ScientistThe Sponsor's office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines. The Data Scientist Team will work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with the Contractor Team working to implement those priorities. The Data Scientists will take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements; develop and manage data processing ETL pipelines; and provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases. They will use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches and 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 Data Scientists will identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission and leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management. Team should anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.
1.(Mandatory) Demonstrated mastery of data exploitation and data enrichment, using tools such (Mandatory) as ElasticSearch, Neo4j, and similar. 2.(Mandatory) Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows. 3.(Mandatory) Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries. 4.(Mandatory) Demonstrated experience with a range of Python packages and graph databases. 5.(Mandatory) Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity. 6.(Mandatory) Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages. 7.(Desired) Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production. 8.(Desired) Demonstrated experience leading complex data science teams. 9.(Desired) Demonstrated experience with machine learning solutions. 10.(Desired) Demonstrated experience working with foreign and domestic partners of the Sponsor. 11.(Desired) Demonstrated experience writing custom algorithms for data exploitation. 12.(Desired) Demonstrated experience with complex graph database queries. 13.(Desired) Demonstrated experience working in high operational tempo environments.
MUST be a US Citizen with a U.S. Government clearance - Intel with Polygraph
NOTE: Must have an active TS-SCI with poly. No sponsorships or upgrades are available. Submissions without this requirement will not be considered. H1-B holders will not be considered.
Benefits:
Up to 5 week paid vacation + 10 gov't holidays
Up to 15% contribution to 401k
LTD, STD disability and life insurance
Paid health, dental, and vision for employee and family.
$5000 annual training expense reimbursement
Computer purchase plan
Overview:
The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems
Data ScientistThe Sponsor's office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines. The Data Scientist Team will work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with the Contractor Team working to implement those priorities. The Data Scientists will take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements; develop and manage data processing ETL pipelines; and provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases. They will use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches and 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 Data Scientists will identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission and leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management. Team should anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.
1.(Mandatory) Demonstrated mastery of data exploitation and data enrichment, using tools such (Mandatory) as ElasticSearch, Neo4j, and similar. 2.(Mandatory) Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows. 3.(Mandatory) Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries. 4.(Mandatory) Demonstrated experience with a range of Python packages and graph databases. 5.(Mandatory) Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity. 6.(Mandatory) Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages. 7.(Desired) Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production. 8.(Desired) Demonstrated experience leading complex data science teams. 9.(Desired) Demonstrated experience with machine learning solutions. 10.(Desired) Demonstrated experience working with foreign and domestic partners of the Sponsor. 11.(Desired) Demonstrated experience writing custom algorithms for data exploitation. 12.(Desired) Demonstrated experience with complex graph database queries. 13.(Desired) Demonstrated experience working in high operational tempo environments.
MUST be a US Citizen with a U.S. Government clearance - Intel with Polygraph
NOTE: Must have an active TS-SCI with poly. No sponsorships or upgrades are available. Submissions without this requirement will not be considered. H1-B holders will not be considered.
Benefits:
Up to 5 week paid vacation + 10 gov't holidays
Up to 15% contribution to 401k
LTD, STD disability and life insurance
Paid health, dental, and vision for employee and family.
$5000 annual training expense reimbursement
Computer purchase plan
group id: 91098614
