Perfict Global
About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.
We provide excellent benefits such as Medical, Dental, Vision, and a fun company to work for!
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.
We provide excellent benefits such as Medical, Dental, Vision, and a fun company to work for!
Job Description:
Client: Healthcare
Position: Data Scientist
Location: Pasadena, CA – candidates must be local – primarily remote – occasional meetings onsite
Duration: Contract to 12/2025; extensions likely
Pay Rate: $55/Hr. on W2 (some flex in rate for strong candidates)
Responsibilities:
- Building web-based solutions
- Upgrading healthcare technology
- Fast moving migrations
- Working with more than one product under the pharmacy umbrella
- 50% Front End – 50% Back End development
Required Skills:
- Master's degree
- 8 – 10 years of experience in Data Science and/or as a Data Scientist
- Healthcare experience (i.e. EPIC, Behavioral Health, Electronic Health Records, Medical Claims, Medical Coding-CPT, HCPCS, ICD, PCS, etc., CMS, other state healthcare data repositories-DMHC, DHCAI, HCUP/AHRQ, etc.)
- Proficiency in Python and R
- SQL experience
- Experience creating and using advanced Machine Learning algorithms and statistics; regression, simulation, scenario analysis, modeling, neural networks, etc.
- Statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining