Data Scientist Expert

Day to Day Responsibilities

The Contractor shall:

• 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 building, 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.

Required Skills and Demonstrated Experience

• Demonstrated experience programming in Python.
• Demonstrated experience working with data in a variety of structured and unstructured formats, including MS Excel.
• Demonstrated experience with a variety of database tools, such as SQL and Presto, and data lakes/S3 data.
• Demonstrated experience building and demonstrating data visualization tools, and dashboards especially Elasticsearch, Kibana, Tableau, Apache Superset and PowerBI
• Demonstrated ability to translate complex, technical findings into an easily understood narrative in graphical, verbal, or written form.
• Demonstrated experience analyzing questions, formulating requirements, determining suitable analytic approaches, evaluating results, and communicating findings to partners and stakeholders.
• Demonstrated experience translating complex technical findings into an easily understood narrative in graphical, verbal, written form.
• Demonstrated openness to feedback and ability to collaborate well with colleagues to develop customer-tailored products.

Highly Desired Skills and Demonstrated Experience

• Demonstrated experience with AI/ML such as natural language processing in a production environment.
• Demonstrated experience developing and refining statistical models ,inferential statistics, and hypothesis testing.
• Demonstrated experience with data management tools, such as Hadoop, MapReduce, or similar.
• Demonstrated experience conducting data science using the Apache Zeppelin and Jupyter notebooks platforms and Spark/Pyspark.
• Demonstrated experience developing MS Visual Basic for Applications (VBA) code.
• Demonstrated experience supporting traditional and commercial targeting efforts
• Demonstrated experience programming in the R language
  
  

Must Have a TS/SCI With Full Scope Poly.