Data Scientist – TS/SCI w/Poly at Leading Path Consulting – United States

Job Description

Description
Data Scientist

Day-to-day responsibilities include:

• 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.
Requirements
• 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, and 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