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Data Scientist - Remote

Georgia IT, Inc.

Role overview

Qualifications

  • Strong skills in Python
  • Strong skills in R
  • Strong skills in SQL
  • Experience with cloud platforms (AWS, Azure, or GCP)

Responsibilities

  • Develop and deploy predictive models and machine learning algorithms
  • Analyze large, complex datasets to generate actionable insights
  • Collaborate with cross-functional teams including RD, commercial, and manufacturing

Key facts

Hard skills

Python (Programming Language) SQL (Programming Language) Machine Learning Predictive Modeling Pharmaceuticals

Other skills

  • Communication
  • Problem Solving

About the company

Georgia IT, Inc. logo

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

Company details

Company size51 - 200

Links

Website LinkedIn See all jobs

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Job description

Data Scientist
Location: Raritan, NJ or Remote
Duration: 6+ months

Job description:
  • Develop and deploy predictive models and machine learning algorithms
  • Analyze large, complex datasets to generate actionable insights
  • Collaborate with cross-functional teams including R&D, commercial, and manufacturing
  • Strong skills in Python, R, SQL, and machine learning libraries
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Pharma or healthcare industry experience highly preferred
  • Excellent communication and problem-solving skills

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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