What are the responsibilities and job description for the Data Scientist position at Bespoke Technologies, Inc.?
STAR 1678-02 – Data Scientist
Skill Level: Expert
Location: Chantilly (fully on-site, no remote option)
Skill Level: Expert
Location: Chantilly (fully on-site, no remote option)
- MUST HAVE A POLY CLEARANCE TO APPLY**
- The Candidate shall perform end-to-end quality assurance of data feeds and data sets.
- The Candidate shall provide support for data triage and assessment at the site.
- The Candidate shall identify and document areas for improvement in workflows or systems.
- The Candidate shall attend regular stand-up meetings.
- The Candidate shall provide input to code reviews.
- The Candidate shall cross-train on existing collection tools.
- The Candidate shall support building, monitoring, alerting, and reporting out (e.g. dashboards).
- The Candidate shall support new use cases.
- The Candidate shall research and document options for collecting or aggregating data from a variety of web based and internal platforms.
- The Candidate shall evaluate web based platforms’ ability to detect or deny access.
- The Candidate shall make recommendations on approaches to acquire information.
- The Candidate shall use appropriate tools and computer programming languages, such as Python scripts, to collect and process data from a variety of sources.
- The Candidate shall use network APIs to programmatically access data.
- The Candidate shall create, maintain, and enhance systems in support of data exploitation.
- The Candidate shall create or improve custom collection scripts written in Python.
- The Candidate shall create or improve scripts leveraging APIs for collection needs.
- The Candidate shall automate data clean-up and conditioning of collected data.
- The Candidate shall automate data management and dissemination steps.
- 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 client-tailored products.
- 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
