ABOUT THE EMPLOYER
Our Client is a well-funded financial services tech start-up, founded by a group of successful serial entrepreneurs. This new organization already has over 20 million dollars in capital and they are building a team of the best and the brightest. If you are chosen for this role, you will not only get the room for creativity, you will also get access to the cream of the crop of Chicago’s tech community. You will join a laid back and fun group of folks in a brand-new office space located steps away from Union Station.
You have a passion for ANALYTICS. You are a self-starter. You have an open mind, you are ready to learn from others and not afraid to share your ideas. In this role, you will be creating and maintaining the data pipeline architecture and assembling large and complex data sets that will meet business requirements. You will be working with DevOps, analytics, and software engineering teams; under the Lead Data Scientist. You will deploy models, build application infrastructure, and create data handling tools to assist these teams in building and optimizing the decision-making process.
- Experience working within an Open Source environment
- Advanced knowledge of SQL, Python, and AWS
- 2+ Experience with Data Engineering
- Start-up experience is a PLUS
- Degree in Computer Science. Statistics, Informatics, Information Systems, or another quantitative field.