Data Scientist with Security Clearance

Job Responsibilities and Duties: * Perform end-to-end quality assurance of data feeds and data sets. * Provide support for data triage and assessment. * Identify and document areas for improvement in workflows or systems. * Attend regular stand-up meetings. * Provide input to code reviews. * Cross-train on existing collection tools. * Support monitoring, alerting, and reporting out (e.g., dashboards). * Support new use cases. * Research and document options for collecting or aggregating data from a variety of web-based and internal Sponsor platforms. * Evaluate web-based platforms' ability to detect or deny access. * Make recommendations on approaches to acquire information. * Use appropriate tools and computer programming languages, such as Python scripts, to collect and process data from a variety of sources. * Use Sponsor-network APIs to programmatically access data. * Create, maintain, and enhance systems in support of data exploitation. * Create or improve custom collection scripts written in Python. * Create or improve scripts leveraging APIs for collection needs. * Automate data clean-up and conditioning of collected data. * Automate data management and dissemination steps. Experience: * Demonstrated experience programming in Python. * Demonstrated experience analyzing questions, formulating requirements, determining suitable analytic approaches, evaluating results, and communicating findings to partners and stakeholders. * Demonstrated experience working with data in a variety of structured and unstructured formats. * Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data. * Demonstrated experience with data visualization tools, such as notebook-based visualization libraries, especially Elasticsearch, Kibana, and Tableau. * Demonstrated ability to translate complex, technical findings into an easily understood narrative in graphical, verbal, or written form. * Demonstrated experience with AI/ML, such as natural language processing in a production environment. Desired Skills: * Demonstrated experience programming in common compiled or interpreted languages, such as Python and R. * Demonstrated experience with data management tools, such as Hadoop, MapReduce, or similar. * Demonstrated experience with technical operations. * Demonstrated experience with technical targeting. * Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/PySpark. * Demonstrated experience collaborating with colleagues to develop customer-tailored products. Clearance: * Must be a U.S. Citizen * Active DOD Top Secret SCI with Poly