Senior Data Scientist

Citi
Tampa, FL, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Big Data Document-Oriented Databases HR Analytics Python (Programming Language) Oracle (Applications) Oracle SQL Developer SQL Databases Large Language Models Deep Learning Generative AI Build Management

Job description

  • Analyse large, complex datasets to provide data-driven recommendations for organizational decisions.
  • Design and build analytical applications, including interactive dashboards for senior stakeholders.
  • Extract, transform, and model data using Oracle SQL and Python, employing advanced machine learning and automation.
  • Document data processes to ensure outputs are reproducible and compliant.
  • Apply GenAI tools to manage multiple analytical workstreams with accuracy.
  • Lead analytics projects independently, from concept to delivery.

Requirements

  • 8 to 10 years of experience in a quantitative or data-intensive field.
  • Expert-level proficiency in Oracle SQL and Python.
  • Experience with building on LLMs for advanced analytics.
  • Ability to build data applications for non-technical audiences.
  • Advanced analytical and problem-solving abilities.
  • Experience with GenAI tools for managing projects.
  • Master’s degree in a quantitative discipline or equivalent experience.

Senior Data Scientist - Nice-to-Have Skills:

  • Experience with HR or people analytics data.
  • Background in the financial services or credit card industry.
  • Experience with quantitative modelling in a regulated environment.
  • Collaboration experience with cross-functional teams.
  • Ability to build effective working relationships across business areas.

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