Visiting Data Scientist - Gies College of Business

Visiting Data Scientist - Gies College of Business Data Science Research Services

Job Summary The Data Scientist will support the analytical, research, and technical needs of DSRS in helping Faculty and Researchers. This role is responsible for conducting data analysis, building datasets, developing models, supporting research projects, and contributing to internal tools that enhance data-driven decision-making within the Gies College of Business.

Duties & Responsibilities

• Data Analysis & Research Support
  a. Clean, prepare, and analyze datasets to support faculty research and DSRS initiatives.
  b. Conduct exploratory data analysis, statistical testing, and visualizations.
  c. Translate research questions into clear analytical approaches and deliverable outputs.
• Modeling & Methodology Development
  a. Build and evaluate statistical models or machine learning models based on project needs.
  b. Develop reproducible workflows for model training, testing, and interpretation.
  c. Document methodologies and maintain organized, transparent code for future reference.
• Data Pipeline & Workflow Development
  a. Assist in building and maintaining robust data pipelines used across DSRS projects.
  b. Ensure data processing steps are consistent, scalable, and aligned with best practices.
  c. Collaborate with technical staff to integrate data processes into DSRS framework
• Internal Tools & Reporting
  a. Contribute to dashboards, internal applications, or automation processes used by DSRS.
  b. Generate clear summaries, reports, and visual outputs for faculty and internal stakeholders.
  c. Support development of templates, documentation, and shared resources.
  d. Support and contribute to infrastructure development to support DSRS services
• Cross-Functional Collaboration
  a. Work closely with faculty, staff, project managers, and interns to deliver high-quality analytical work.
  b. Participate in project scoping, requirement gathering, and progress discussions.
  c. Provide technical guidance or support to junior team members when needed.
  d. Mentor and train students into Data Science Applications
• Miscellaneous
  a. Provide ad-hoc assistance as and when required
  b. Support additional tasks or emerging needs that fall outside the primary responsibilities, as the role evolves with DSRS.

Additional Physical Demands Additional Information:
This position supports both research-based and operational projects within the college. Work may include collaboration with multiple faculty members, administrative units, and cross-functional teams. The role requires flexibility, professionalism, and adherence to university data, privacy, and security standards.

Minimum Qualifications

1. Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
2. Proficiency in Python and commonly used data science libraries
3.

Experience with data cleaning, analysis, and visualization.
4. Experience applying statistical or machine learning methods to real datasets.

Preferred Qualifications

1. Experience working with large or research datasets.
2.

Experience with large computing systems.
3.

Experience with SQL or relational databases.
4. Familiarity with cloud tools or workflow automation
5. Experience supporting academic research or collaborative analytic projects.
6. Familiarity with emerging AI/ML techniques (e.g., embeddings, LLM-based workflows).

Knowledge,

Skills and Abilities

Strong analytical and problem-solving skills.

Ability to write clean, well-documented, and reproducible code.

Strong communication skills and ability to explain technical concepts clearly.

Appointment Information

This is a 100% full-time Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after the 2/16/2026. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. The budgeted salary range for the position is $90,000 to $100,000. Sponsorship for work authorization is not available for this position.
For more information about Gies Business, visit (Use the "Apply for this Job" box below)..

Application Procedures & Deadline Information

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