Data science isn’t just a highly popular discipline — it’s one of the nation’s fastest-growing job sectors. According to the U.S. Bureau of Labor Statistics, data science employment is slated to grow by 36 percent between 2023 and 2033.
As the job sector itself grows, companies across the Chicagoland area are looking for data scientists to help drive progress. These organizations are spearheading change across various sectors, from precision medicine to equipment manufacturing. Check out our list of companies hiring data scientists in Chicago to find out more about the opportunities on offer.
Companies Hiring Data Scientists in Chicago
- Tempus AI
- Morningstar
- Enova
- Grainger
- Caterpillar
Chicago Companies Hiring Data Scientists
Founded in 2015, Tempus AI aims to advance precision medicine with its data-driven and AI solutions, partnering with organizations across various sectors including psychology and oncology. The company’s solutions can be used for a wide range of purposes, from drug discovery and development to clinical trial management.
Morningstar offers products and services that help investors access tools and real-time information. The company’s products are designed to handle investment data analysis, portfolio management, credit research and more. At Morningstar, data scientists tackle problems with natural language processing and implement solutions using AI and machine learning.
Established in 2004, financial services company Enova offers a lending platform that’s powered by machine learning. It aims to offer accessible credit for millions of “non-prime consumers and businesses” who are underserved by traditional banking options. At Enova, data scientists use a wide range of programming languages including R, SAS, SQL, Python and Mathematica.
Grainger provides products and tools for industrial repair, maintenance and operations to over 4.5 million customers worldwide. The company primarily operates in North America, Japan and the United Kingdom, offering products such as electrical boxes and solar panels. Data scientists at Grainger maintain production-scale machine learning systems and make use of programming languages like Python and SQL.
Known for its “world-famous yellow iron,” Caterpillar manufactures construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The company’s technologists leverage various tools, including autonomous technologies and LiDAR, in order to continually enhance the company’s products. Caterpillar’s data scientists work across a range of tasks like manipulating data using AWS services as well as building AI and machine learning models.
