OPS Data Scientist

University of Florida

The University of Florida is looking for an OPS Data Scientist who will lead innovative data science projects. The role focuses on refining data management processes, conducting deep analyses on extensive datasets, and contributing to software development in health-related domains. This position is key for enhancing data integration and system performance using cutting-edge technologies.

In this role you can expect to have the responsibilities:

• Lead data science and data management initiatives.
• Perform data preparation, wrangling, and optimize ETL pipelines.
• Design and implement predictive models for informed decision-making.
• Conduct statistical analysis and data visualization.
• Develop software systems focused on health and medical applications.
• Define system scope and objectives; write and debug code.
• Collaborate with team members to assess design options and troubleshoot issues.
• Attend biweekly meetings to update on progress and discuss solutions.

This role comes with the following benefits:

• Collaborative work environment.

This role requires you to have:

• Bachelor’s degree and one year of relevant experience.

You would benefit from having:

• Experience with Linux or Mac operating systems.
• Ability to manage software and system upgrades.
• Excellent communication skills for technical and non-technical audiences.
• Experience with Python, R, SQL, and frameworks such as PHP, Java, JavaScript.
• Familiarity with SPARQL, Semantic Data stores, NoSQL.
• Proficient in using REDCap and R libraries.
• Ability to create automated programs with Python.