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New College of Florida

Data Scientist

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$102,036 / year median in Florida

+23% projected growth

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Job Description

This position will be responsible for data analysis, statistical modeling, visualizations, and data engineering to support data insights for the campus. 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 goals, utilizing machine learning models and artificial intelligence tools when appropriate Design and develop dashboards, reports, and visualization using Power BI or other approved data visualization tools Identify opportunities for enhancing 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 Other duties as assigned 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 & deep learning models Proficiency and experience with Python, R, SQL Strong analytical and problem-solving skills Excellent communication skills with the ability to present complex data in a clear and concise manner Proficiency and experience with business intelligence tools