This page lists job, fellowships, internships, and educational and research opportunities in data science. If you would like to list an item on this page, please fill out this form for consideration.
- Data Science Central
- Remote Data Science Jobs
- Monster Data Science Jobs in Michigan
- datascience.community Jobs
U-M Career Resources
Policy Analyst – U.S. Congress Budget Office, Requires graduate degree in economics, public policy, or a related field and equivalent experience. Submit a cover letter, résumé, brief writing sample, salary history, and contact information for three references online at www.cbo.gov/careers.
FortressIQ – currently expanding the data science team and looking for experienced individuals to come accelerate our growth. The positions include a general role for candidates with experience in broad applications of statistics/data science such as predictive modeling, general inference, A/B testing, etc. and a deep learning/computer vision role for candidates with experience building and deploying deep learning models tailored for image analysis.
FortressIQ is still in a bit of a stealth mode and it may be difficult to find much information about them. That being said, they are well funded and the industry they are in, robotic process automation, has been receiving a decent amount of attention recently (NYTimes article, RPA growth article).
IBM – IBM Research is starting a push to hire a large number of early career researchers in the general area of artificial intelligence, including machine learning, optimization, and applications in healthcare/life sciences. This effort is related to the new MIT-IBM Watson AI Lab. Locations will be either Cambridge, MA or Yorktown Heights, NY. Interested candidates can email their CV to Dennis Wei (firstname.lastname@example.org), Research Staff Member, Data Science Group, IBM Thomas J. Watson Research Center, http://researcher.watson.ibm.com/researcher/view.php?person=us-dwei. IBM Careers
ZF – Automotive innovation, driveline and chassis technology, active and passive safety technology. Recruiting for a Co-op Student who is pursing a Masters degree (preferred in Computer Science). Other career opportunities are located here.
Columbus Technologies – Bioinformatics Scientist (location: NIH in Bethesda, MD), requirements include a Ph.D. and U.S. citizenship. Job details: https://careers.columbususa.com/job.php?id=1245. If you have questions, contact Mykeshia McNorton, Technical Project Manager.
Quicken Loans – Quicken Loans Careers
Agilent – Agilent Careers
Amway – Amway Careers
Columbia Business School – Columbia Business School Careers
Eaton – Eaton Careers
Fidelity Life Insurance – Meggie von Haartman, email@example.com. Please reference that you are a MIDAS student and referred by Dr. Gopalan.
Google – Google Careers
MassMutual Financial Group – MassMutual Financial Group Careers
Microsoft – Careers; many Data Scientist positions are open around the county.
Nielsen – Nielsen Careers
Sphere Software – Sphere Careers
Stanford University – Stanford Careers
Systems and Technology Research – STR Careers
Zilliant – Zilliant Careers
Continuing Training and Education
The Data Incubator – The Data Incubator is an intensive 8 week fellowship that prepares masters students, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries. In response to the overwhelming interest in our earlier sessions, we will be holding another fellowship. Application
Who Should Apply: Anyone who has already obtained a masters or PhD degree or who is within one year of graduating with a masters or PhD is welcome to apply. Applications from international students are welcome. Everyone else is encouraged to sign-up for a future session.
Locations: In addition to the below in-person locations, we will have a remote online session:
- New York City
- San Francisco Bay Area
- Washington, DC.
Dates: All sections will be from 2018-06-18 to 2018-08-10.
Red Oak Strategic – Data Science Summer/Fall Internship; Washington, DC-based data science consulting firm, staffed by U-M alums, looking for summer/fall interns; gain hands-on experience building data science solutions for corporate, financial services, political and other clients; applicants email firstname.lastname@example.org or submit inquiry through contact page.
Washington University – Postdoctoral Researcher or Staff Scientist, participate in the development and application of advanced machine learning methods for medical imaging applications. Of particular interest is the development of deep learning methods for interpretation of large volumetric medical images. The ideal candidate will have experience in machine learning, computed imaging, and scientific programming. For more information contact Mark A. Anastasio, Ph.D. Professor of Biomedical Engineering, Washington University in St. Louis , email email@example.com.
Georgia Institute of Technology – Postdoctoral Associate(s), TRIAD on Inter-disciplinary and Foundational Research of Data Sciences, demonstrated expertise in one or more of the following areas: any areas of mathematics, optimization, statistics, and theoretical computer science. Additionally, domain knowledge of potential application of data science is a plus. Applicants should possess a Ph.D. in Mathematics, Statistics, Computer Science, or other relevant field. Applicants are expected to be outstanding, intellectually curious researchers at an early stage of their scholarly career. Apply online.
Insight Data Science Fellowship: An intensive 7-week Fellowship Training Program (tuition free) introducing academic trainees to practical data science industry applications and providing mentoring and networking support.
Ongoing Data Science Bootcamps: A variety of opportunities for hands-on team-based data science training.
Data Science Practicum Opportunities
“Deconvolving the Noisy Universe: a machine learning approach to analyze astronomical images”; 4 month project for students; mentor is Arya Farahi, PhD Student; the team will use a machine learning approach to analyze astronomical images; affiliation is the U-M, Department of Physics.
“Machine Learning Models for an Automated Data Science Pipeline” – Professors Laura Balzano and Jason Corso are offering this practicum opportunity. This is an effort to develop machine learning modules that can be incorporated into a data science pipeline supported by DARPA. There are 10 data science problems including tabular, text, audio, and image data. All programming will be done in Python. Please contact Laura(firstname.lastname@example.org) or Jason(email@example.com) if you are interested.
Michigan Sports Analytics Society: The Michigan Sports Analytics Society exists to develop a platform for students to collaborate, gain experience, and publish high-level work in the field of Sports Analytics. This is an opportunity for research experience and mentoring that could be counted as Data Science Practicum. Read more on our goals for Baseball, Basketball and Soccer.