The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving, and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.

Why Work at Michigan?

Being part of something greater, of serving a larger mission of discovery and care — that's the heart of what drives people to work at Michigan. In some way, great or small, every person here helps to advance this world-class institution. It's adding a purpose to your profession. Work at Michigan and become a victor for the greater good.

Industry: Higher Education
Company Size: 10,001+ employees

University of Michigan

Savvy Admin PROD

Responsibilities*

This position is for an undergraduate student research assistant who will work on existing and new projects related to data management, data analysis, and data visualization starting with the June 13, 2026 tax clinic event at the U-M Detroit Center in downtown Detroit. The ideal candidate should have experience with statistical software such as Stata and R, as well as skills in data visualization using ArcGIS. This position will be under the supervision of Prof. Antonios M. Koumpias.

Required Qualifications*

- Prior data management experience

- Data analysis

- Experience with statistical software such as Stata and R

- Skills in data visualization using ArcGIS

Desired Qualifications*

- Prior data management experience

- Data analysis

- Experience with statistical software such as Stata and R

- Skills in data visualization using ArcGIS

Modes of Work

Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes.

Background Screening

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

U-M EEO Statement

The University of Michigan is an equal employment opportunity employer.

RESEARCH ASST I (TEMP)

IT Services, Consulting, Staffing, Recruitment, Technology, Advisory, USA, Global,India, Canada

Industry: Technology, Information and Internet
Company Size: 2-10 employees

COMMSERVE TECHNOLOGIES INC

**Hybrid Position**

- Under minimal supervision, responsible for solving complex business cases by understanding problem statements and conditions to generate workable hypotheses and solve by creating data driven models. Develops complex models by utilizing statistical, algorithmic and visualization techniques and provides insights for cross-functional teams within client and its subsidiaries.

**Required Skills and Experience (Top 3)**

- Proven experience designing and developing advanced analytics and AI solutions using machine learning and deep learning techniques, including natural language processing (NLP).

- Hands-on experience working with big data and cloud platforms (AWS preferred, Databricks plus), along with strong software development skills and adherence to best coding practices.

- Strong communication skills, with the ability to clearly explain technical concepts to project leads and present insights effectively to non-technical audiences.

**Programming **: Proficient in Python

**Experience: ** Minimum 2 years of relevant professional experience

**Preferred Skills And Experience**

- Ability to translate complex business problems into analytical solutions, decompose them into actionable components, and build end-to-end data-driven solutions from the ground up.

- Experience developing custom NLP applications using deep learning models, including transformer-based architectures (e.g., large language models, or LLMs).

- Familiarity with rapid prototyping and demo creation using frameworks such as Streamlit.

- Prior experience in the healthcare industry preferred.

**Education/Certifications:**

- Bachelor’s degree in data science, Machine Learning, Computer Science, Applied mathematics, Statistics, Mechanical Engineering, Operations Research, or related field is required.

- Master's in related field is preferred.

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Data Science-Senior Analyst

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