CJR Data Science & Forecasting Assistant - College of Health & Human Services

About the Department

The Center for applied research is seeking a motivated PhD student in Data Science to support ongoing projects focused on data-driven forecasting and spatial analysis. This position is ideal for individuals interested in applying advanced analytical techniques to real-world problems involving large, complex datasets.

Career Readiness Competencies

• Maintain a positive, growth-oriented mindset when facing challenges.
  
• Actively listen and respond respectfully in meetings and conversations.
  
• Identify when additional information is needed before making a decision.
  
• Adapt communication style when needed to promote effective teamwork.
  
• Demonstrate reliability and accountability in completing tasks.
  
• Build positive working relationships across campus departments.
  
• Stay aware of basic cybersecurity and data privacy practices.

Position Duties

• Assist in the development and implementation of time series forecasting models
• Prepare, clean, and manage large datasets for analysis
• Conduct spatial data processing, including geocoding and integration of geographic units
• Support the translation and optimization of analytical workflows into Python-based code
• Collaborate with research staff to evaluate model performance and refine predictive approaches
• Document processes and contribute to research reports and presentations

Minimum Qualifications

• Current PhD student in Data Science or closely related field
• Experience with Python for data analysis 
• Familiarity with time series analysis or forecasting methods
• Basic understanding of geospatial data
• Strong attention to detail and ability to work with complex datasets
• Ability to communicate analytical findings clearly
• Experience with advanced forecasting models (e.g., machine learning or deep learning approaches for time series)
  Familiarity with working on public safety or social science datasets