Key Facts

Remote From:

United States

Category: Data Scientist

Full time

Senior (5-10 years)

English

Roles & Responsibilities

Masters Degree in Computer Science
9 Years of Experience
ETL Pipeline Experience
Python Proficiency

Georgia IT, Inc.

About Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Founded: 2018

Company size: 51 - 200

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Job description

Healthcare Data scientist Architect
Location: Remote
Duration: Contract
Rate: DOE
US Citizens, GC, EAD ( H4, L2), E3 TN visa holders preferred, NO third party corp to corp accepted for this job

Must-Have Qualities:

Masters Degree in Computer Science: The ideal candidate should hold a Masters degree in Computer Science, showcasing a strong academic foundation in relevant fields.
9 Years of Experience: We require at least 9 years of practical experience in data science, encompassing a strong track record of successful projects and contributions.
ETL Pipeline Experience: The candidate should have a proven ability to design, build, and optimize ETL (Extract, Transform, Load) pipelines for efficient data processing and analysis.
Python Proficiency: Profound expertise in Python is a crucial requirement, as the role heavily relies on Python for data analysis, modeling, and visualization.