Data Scientist

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20221212-1678-02-01

Salary Range: Up to $175K salary is commensurate with education and experience

Job Summary

The Sponsor has a requirement for data science support to business analytics and developing deeper expertise in global commercial business practices. Lines of effort shall include collecting, conditioning, and processing data to contribute to analyses in response to Sponsor requirements, as well as providing quality assurance of datasets, and supporting new use cases. Priorities will be determined and tracked by the Sponsor.

**Please note:  This job requires an existing Top Secret Clearance and  Polygraph**

Responsibilities and Duties

• Perform end-to-end quality assurance of data feeds and data sets.
• Provide support for data triage and assessment at the Sponsor’s site.
• 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 Needed:

• Citizenship: Must Be a US Citizen
• Existing Clearance Required: Active Top Secret SCI with Poly
• Expert Level experience required
• 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.

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

• 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.<