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We are inviting a remote Senior Data Analyst with 3+ years of professional experience in Data Science, and Python knowledge to join our team.
The customer is an American worldwide health services organization. Its insurance subsidiaries are major providers of medical, dental, disability, life and accident insurance and related products and services, the majority of which are offered through employers and other groups.
The context of this project is the implementation of tools and processes to improve the client's ability to respond to requests related to court/legal proceedings. Data extracted at this phase will be used in automated routing/triage, pre-fill of search forms, etc. to assist Legal Compliance employees to identify the data needed to fulfill legal requests as quickly and accurately as possible. Platform likely to process thousands of requests per month.
responsibilities
- Taking a Proof of Concept developed with Python (using GloVe embeddings) by an EPAM Data Scientist further, towards a pilot-ready application
- Expanding the amount of Data, as well as improving the accuracy of the Data, extracted. These data will be persisted in a database and utilized to feed further downstream processing
- ML application development within Consulting engagement
requirements
- 3+ years of professional experience in Data Science
- Strong knowledge of Python (3.x)
- Hands-on experience on NLP tools/libraries/APIs (GloVe, BERT, etc.)
- Ability to develop production-ready data extraction tools using above
- Fluent English both verbal and written (B2+)
nice to have
- Experience with AWS S3, Lambda, API Gateway, etc. (likely, but not definite platform)
benefits for locations
- Paid time off
- Paid sick leave days
- Medical insurance
- Stable income
- 100% remote work forever
- Free licensed software
- Possibility to work on your own device (BYOD)
- Stable workload
- Relocation opportunities
- Flexible engagement models
- Free trainings for technical and soft skills
- Free access to LinkedIn Learning platform
- Language courses
- Free access to internal and external e-Libraries
- Certification opportunities
- Skill advisory service
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