Data scientist

Position: Data Scientist
Duration: 1 year contract + potential extensions
Location: Remote - Chicago and NYC based candidates are preferred 

Notes from call with manager: 
Analytics team specifically aligned to Caremark work, working on Prior Authorizations process improvements 
Project is to build a tool to digitize faxes 
By far the most important skill will be the candidates ability to work across technical and nontechnical teams, explain trade-offs, gain stakeholder buy-in, and operate with a growth mindset. They will work with another teammate and leverage previous work rather than start from scratch. If they are technically great, but not good with business tradeoffs & stakeholder communications, they aren''t a good fit.
A candidate that does not have strong communication and business acumen/ability to move the needle with business teams will not be a fit even if they are very strong technically 

Must Haves: 
5+ years of relevant experience and: 
Strong OCR experience across LLMs, cloud tools, and traditional tools such as Tesseract
Experience with handwriting, poor-quality faxes, image artifacts, and database validation
Understanding of current tool/data limitations and what is required to improve quality
Strong Python and SQL; familiarity with Google Cloud Platform
Experience developing, deploying, and maintaining production applications
Strong business framing, stakeholder communication, and technical judgment
Demonstrated end-to-end ownership of ambiguous projects, with limited supervision
An outcome-oriented mindset focused on solving the business problem, not just executing a task
Successful candidates should be able to work across technical and nontechnical teams, explain trade-offs, gain stakeholder buy-in, and operate with a growth mindset. They will work with another teammate and leverage previous work rather than start from scratch. If they are technically great, but not good with business tradeoffs & stakeholder communications, they aren''t a good fit.

Day to day: 
The project is focused on reducing fax-related costs. Building a fax digitization (i.e. optical character recognition) is an important component, but it is broader than that. The person will help determine why providers send faxes, identify process or vendor improvements that could prevent them, and lead development of a production digitization solution for the faxes we continue to receive.