• generating ideas for revolutionary technologies supporting operations in the hard target mission space.• entrepreneurial leadership in developing, pitching, selling, and deploying new technologies to solve operational problems. • Python development with expertise in Python data analytics packages such as pandas, numpy, scipy, gensim, and scikit-learn.• database technologies, including Elasticsearch and SQL databases.• data pipelines and workflow technologies, such as Apache NiFi• task tracking and version control technology, such as GitHub and JIRA.• AI/ML technologies and packages, such as TensorFlow, PyTorch, and scikit-learn.• ML model development on text data, including NLP, and structured datasets.• data visualization technologies and packages, such as Kibana, Bokeh, Leaflet/Folium, and Tableau.• developing in a cloud environment, such as Amazon Web Services. • building application web based front ends.• handling restricted data sets, both at the individual and system level.• managing data to include transfer, ingestion, ETL, management, retention, and deletion while maintaining provenance and handling and dissemination restrictions.• working with data spread across multiple enclaves.• the Organization’s A&A process; security regulations, policy and guidance. • documenting and editing the results of technical analysis for publication to non-technical audiences.• solving tough problems by developing repeatable methodologies.• building and maintaining web based applications.• developing Flask apps.

• Mandarin Chinese ability (reading) at the 2 level or higher, based on the Sponsor’s or similar rating scale.
• programming in common compiled or interpreted languages, such as Ruby, C , Java, or similar.
• data management tools, such as Hadoop, MapReduce, or similar.
• data visualization tools, such as notebook-based Python visualization libraries, Tableau, Power BI, or similar.
• computer network exploitation and remote network operations.
• cyber or technical operations.
• cyber or technical targeting.
• conducting data science using the Apache Zeppelin notebooks platform.
• collaborating with colleagues to develop customer-tailored products.
• ability to translate complex, technical findings into an easily understood narrative in graphical, verbal, or written form.