The University of Chicago seeks Data Science Analyst for Chicago, IL. Bachelor's in Information or Computer Science or related field +2 yrs exp. Req'd: 2 yrs exp w/each: research techniques/methods including causal inference & econometrics; research in developmental psychology, linguistics or applied public health; Python; SQL; R; Tableau/STATA; data analysis, insight synthesis, & presentation; AWS; Hadoop/Spark/Dask; HPC; SQL Server. Asynchronous & live coding test. Background check w/ review of conviction history. 4 days in office. Benefits available at https://mybenefits.nfp.com/UChicago/benefits-guide/
Apply online at https://www.uchicago.edu/jobs/, Job ID: JR33591
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination at https://www.uchicago.edu/non_discrimination_statement/. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via [email protected]
JOBS.NOW Note: To tap into these hidden job opportunities, it's crucial to adhere strictly to the application process outlined in each job ad. At JOBS.NOW, we ensure that every listing includes detailed employer instructions. Follow them precisely to be considered for these unique positions!
The "Log Application" button simply allows you to log the application for your records - JOBS.NOW does not submit any applications to employers directly. Remember to still apply through the method indicated in the job ad (mail, email, or via link).
Please note that JOBS.NOW is an independent website and does not post this listings on behalf of any employers nor do we receive any compensation for these listings. All listings are sourced via media or internet channels required by the PERM process.
