- Company Overview:
- The Contractor shall perform end-to-end quality assurance of data feeds and data sets.
- The Contractor shall provide support for data triage and assessment at the Sponsor's site.
- The Contractor shall identify and document areas for improvement in workflows or systems.
- The Contractor shall attend regular stand-up meetings.
- The Contractor shall provide input to code reviews.
- The Contractor shall cross-train on existing collection tools.
- The Contractor shall support building, monitoring, alerting, and reporting out (e.g. dashboards).
- The Contractor shall support new use cases.
- The Contractor shall research and document options for collecting or aggregating data from a variety of web based and internal Sponsor platforms.
- The Contractor shall evaluate web based platforms' ability to detect or deny access.
- The Contractor shall make recommendations on approaches to acquire information.
- The Contractor shall use appropriate tools and computer programming languages, such as Python scripts, to collect and process data from a variety of sources.
- The Contractor shall use Sponsor-network APIs to programmatically access data.
- The Contractor shall create, maintain, and enhance systems in support of data exploitation.
- The Contractor shall create or improve custom collection scripts written in Python.
- The Contractor shall create or improve scripts leveraging APIs for collection needs.
- The Contractor shall automate data clean-up and conditioning of collected data.
- The Contractor shall automate data management and dissemination steps.
- Demonstrated experience programming in Python.
- Demonstrated experience performing statistical analysis, testing, and modeling using Python or R.
- 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.
- 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.
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Data Scientist - Virginia, United States - Cornerstone Defense
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Description
Title:
Data Scientist
*Clearance:
*Active TS/SCI w/ Polygraph needed to apply
Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission.
Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems.
If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.
Customer Labor Category:
Data Scientist - -
Customer Skill Level(s): Expert
Position Description:
Day to day responsibilities include:
REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE
HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE