Full-Time

Data Scientist 3

Posted on 12/13/2025

University of Miami

University of Miami

No salary listed

Company Does Not Provide H1B Sponsorship

Miami, FL, USA

In Person

Category
Data & Analytics (2)
,
Required Skills
Data Science
Data Structures & Algorithms
Machine Learning
Requirements
  • Doctorate degree in relevant field required
  • Minimum 7 years of relevant experience required
  • Refer to department description for applicable certification requirements
  • Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
  • Teamwork: Ability to work collaboratively with others and contribute to a team environment.
  • Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
  • Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
Responsibilities
  • Collaborates with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Leads the development of a state-of-the-art data portal for the storage, management and analysis of multidimensional and diverse datasets.
  • Leads the development of pipelines and workflows for the integration of publicly available datasets with the developed infrastructure
  • Performs active project management to develop the Data Portal and other tools, coordinating the timely implementation of user requirements, technical specifications and user feedback
  • Leverages state-of-the-art big data and AI approaches and develops computational algorithms and workflows for the identification of novel targets and appropriate prioritization
  • Mines and analyzes data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Leads the assessment of effectiveness and accuracy of new data sources and data gathering techniques.
  • Develops custom data models and algorithms to apply to data sets.
  • Uses predictive modeling to increase and optimize customer experiences, operational efficiencies, and other business outcomes.
  • Leads different functional teams to implement models and monitor outcomes.
  • Develops processes and tools to monitor and analyze model performance and data accuracy.
  • Adheres to University and unit-level policies and procedures and safeguards University assets.

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