Data Scientist

New College of Florida

Sarasota (FL)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

The New College of Florida is seeking a Data Scientist to support campus-wide data insights through analysis, modeling, visualization, and data engineering. This onsite role in Sarasota, FL focuses on turning institutional data into clear reporting, reliable dashboards, and predictive or classification capabilities that inform internal decisions.

You will work across data sources to extract and analyze information, build machine learning and artificial intelligence-driven models where

Qualifications

  • Bachelor's degree in data-related field and strong background in statistics and analytics.
  • Experience with predictive analytics and ML/DL models.
  • Proficiency in Python, R, SQL; data visualization and reporting skills.

Responsibilities

  • Extract and analyze data from Banner ERP and related sources.
  • Develop modeling frameworks for prediction and classification using ML/AI.
  • Design and develop dashboards and reports using Power BI or approved tools.
  • Identify opportunities to enhance data assets and propose solutions.
  • Translate business needs into technical solutions and data-driven recommendations.
  • Collaborate with cross-functional teams to gather requirements.
  • Develop and maintain data models, definitions, and documentation.
  • Ensure data accuracy, integrity, and consistency across reports.
  • Automate recurring analytical processes and monitor KPIs.
  • Support data governance and compliance initiatives.

Skills

statistics
predictive analytics
machine learning
deep learning
Python
R
SQL
data visualization
communication skills

Education

Bachelor’s degree in Data Science, Business Analytics, Computer Science, or related field

Tools

Banner ERP
Power BI
Python
R
SQL

Job description

The New College of Florida is seeking a Data Scientist to support campus-wide data insights through analysis, modeling, visualization, and data engineering. This onsite role in Sarasota, FL focuses on turning institutional data into clear reporting, reliable dashboards, and predictive or classification capabilities that inform internal decisions.


In this position, you will work across data sources to extract and analyze information, build machine learning and artificial intelligence-driven models where appropriate, and deliver dashboards and reports using approved tools. You will also help strengthen data assets and ensure reporting remains accurate, consistent, and well-governed.


What you’ll do


  • Extract and analyze data from the Banner ERP system and related data sources to fulfill internal data requests

  • Develop modeling frameworks for prediction, classification, and similar objectives using machine learning models and artificial intelligence tools when appropriate

  • Design and develop dashboards, reports, and visualizations using Power BI or other approved visualization tools

  • Identify opportunities to enhance data assets and propose innovative solutions

  • Translate business needs into technical solutions and provide data-driven recommendations

  • Collaborate with cross-functional teams to gather requirements and understand business challenges

  • Develop and maintain data models, data definitions, and documentation

  • Ensure data accuracy, integrity, and consistency across reports and systems

  • Automate and optimize recurring reports and analytical processes

  • Monitor key performance indicators (KPIs) and provide regular updates to stakeholders

  • Support data governance and compliance initiatives

  • Perform other duties as assigned


What you bring


  • Bachelor’s degree in Data Science, Business Analytics, Computer Science, or a related field

  • Proficiency and experience with statistics and predictive analytics

  • Proficiency and experience with machine learning and deep learning models

  • Proficiency and experience with Python, R, and SQL

  • Strong analytical and problem-solving skills

  • Excellent communication skills, with the ability to present complex data clearly and concisely


Tools and technologies


  • Banner ERP system

  • Power BI

  • Python

  • R

  • SQL

  • Machine learning models

  • Deep learning models

  • Artificial intelligence tools


Preferred qualifications


  • Proficiency and experience with business intelligence tools

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