Mid Level Chicago Startup and Tech Jobs

8

Arity-Data Steward

Arity
Chicago
1 day ago
+22
The Data Steward is responsible for management and governance of core internal and external analytical data for the organization. In this role, you will help provide 'fit for use' data to enable timely generation of sound end-to-end business insight by ensuring our data is timely, accurate, complete and most importantly, 'fit for purpose' for our customers' use cases. Members of Arity's Data Governance and Quality team have responsibility for ensuring consistency and clarity of our data across our product portfolio. The team works very closely with product partners to convert business needs into data solutions that power our businesses.

Senior Data Scientist

Mastery Logistics Systems
Chicago
2 days ago
+13
Build model-based optimization, simulation, and/or predictive tools to enable Mastery’s customers to efficiently match freight at scale. Closely collaborate with fellow Engineers and Product Managers and interact with stakeholders across the organization. Write clean, maintainable, and well-tested code. Help build and drive the Data Science and Analytics roadmap.

Sr. Data Scientist/AI Scientist

Stats Perform
Chicago
4 days ago
+24
Researching, developing, and implementing the most innovative machine learning and computer vision techniques to Stats Perform's wealth of sports data (both structured and unstructured). Productizing artificial intelligence based solutions along side engineers and product teams. Providing technical guidance to product teams on the artificial intelligence (machine learning and computer vision) approaches appropriate for a task. Patenting the innovative solutions.

Machine Learning Engineer

Stats Perform
Chicago
1 week ago
+24
We are looking for a Machine Learning Engineer to build world-class machine learning platform solutions. You will be responsible for empowering data scientists and AI scientists by developing a collection of industry-strength platform services to greatly improve scientists productivity and facilitate innovation. Your responsibilities include, but not limited to:

Software Engineer, Data Platform

Mastery Logistics Systems
Chicago
1 week ago
+13
The transportation industry has no shortage of complex problems requiring creative, data-intensive solutions in order to effectively and efficiently automate operations at scale. In this role, you will be expected to work autonomously and contribute to several high impact projects including building services providing near real-time analytical insights to Mastery’s customers.

Senior Data Analyst, Sales

Flexport
Chicago
2 weeks ago
+43
Work with Sales leadership to discover actionable insights. Translate questions from the business into projects that will inform the business and facilitate informed decision making. Rapid prototype new functionality via dashboards to enable new ways of working and discover best practices for workflow management across all of Flexport's departments; Contribute and grow the culture of excellence on our team by bringing processes and best practices to our group.  Drive highly visible projects for Flexport. Influence the roadmap for both the Data Analytics department and the stakeholders we support.

BI Analyst

project44
Chicago
3 weeks ago
+39
 We are looking for a Business Intelligence Analyst with experience in data analytics and metrics optimization. We are interested in furthering our data collection and analysis practices, you will be responsible for coming up embedded analytics for our customers.   

Systems Integration Engineer

Shipwell
Chicago
13 hours ago
+38
Provide insight into & develop database solutions to store and retrieve a wealth of data from the supply chain market, we currently collect more than 1B rows of vehicle location data/month. Work with the data science team to architect the market data used with machine learning algorithms. Define ETL processes for warehousing production data used to provide business analytics for our customers.  Keep team informed of developments and direction in data technologies. Define security and backup procedures. Develop database design and architecture documentation.

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