Job Description

The Candidate shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor's office conducts high profile and short fuse data science and targeting requirements on a priority mission. The position involves:

• Taking the Sponsor's mission needs and converting those into technical milestones consistent with the Sponsor's data science requirements
• Developing and managing data processing ETL pipelines
• Providing ad hoc trainings to Sponsor's data users on custom tools and data exploitation consistent with established use cases
• Using software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches
• Identifying ways in which user-facing tools can leverage existing Large Language Models (LLMs) to accelerate data science workflows
• Identifying existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission
• Leveraging all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management
• Supporting the processing, standardization, aggregation, correlation, modeling, and exploitation of technical data
• Working across multiple data environments and applications and developing custom tools and data processing pipelines

Mandatory Skills

The Candidate shall have the following 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

Desired Skills

Skills and demonstrated experiences that are highly desired but not required to perform the work include:

• 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