What are the responsibilities and job description for the Data Scientist Expert position at Gormat?
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
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