Mid Level Chicago Startup and Tech Jobs

6

Machine Learning Engineer

Stats Perform
Chicago
3 days 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:

Senior Product Manager

Outcome Health
Chicago
4 days ago
+15
This position will work closely with the VP of Product Management and stakeholder teams across the organization to identify a roadmap and prioritize projects to improve the value proposition of defined products for our clients, customers, and patients. The role will be responsible for understanding the business, recommending priorities for the most important projects within a defined area to impact the business, and socializing and gaining buy in on priorities and expected results. In addition, the role will be responsible for translating projects into specific requirements, including stories and acceptance criteria, for execution by engineering across multiple stakeholder teams. Lastly, the role will be responsible for supporting go-to-market strategy, including training key stakeholders and providing internal documentation to help other teams craft customer facing materials.

Senior Big Data Engineer- Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
We’re looking for a Senior Data Engineer for our Chicago to join us in building our next generation data processing platform. As part of the platform team you will work in multiple areas including campaign performance measurement and reporting, ad fraud, and botnet detection.

Software/Data Engineer - Data Warehouse

Integral Ad Science
Chicago
1 week ago
+49
Planning delivery of data pipelines and api endpoints for IAS (Integral Ad Science) product offerings. Extracting, transforming, and analyzing large volumes of structured and unstructured data. Implementing data processing solutions using Big data stack including but not limited to Hadoop, Spark, Vertica, and Hive. Writing SQL queries and other types of data requests in the context of massive data sets. Building data pipelines and data stores optimized for data science needs. Implementing systems for large-scale data analysis and machine learning. Building tools for use across the Data Science and Data Engineering teams. Identifying and implementing automated tests for software components. Deploying and maintaining data processing systems in production. Partnering with engineering teams on deployments of data science driven solutions.

Senior Product Manager, Data & Analytics

Outcome Health
Chicago
1 week ago
+15
The Senior Product Manager for Data & Analytics will collaborate with various stakeholder groups to plan, prioritize, and activate data assets that drive value within Outcome Health’s data ecosystem. This individual will be responsible for helping to build the strategy, define requirements, and drive execution for the product analytics team.

Data Engineer

DialogTech
Chicago
1 week ago
+47
We are looking for a passionate, driven, and detail-oriented Data Engineer to join our Data Science and Analytics team. In this role, you’ll work with our team to design, implement, and optimize our data lake and data pipelines. At DialogTech, we have a mixture of structured and unstructured data -- the DialogTech platform handles over 1 million calls/day and produces over 10 millions minutes of transcriptions per month, and our data labeling team generates over 600 thousand data labels per year. As a Data Engineer, you’ll be focused on building data pipelines and tools to help us scale up our labeling and modeling practices. You'll be expected to keep up with current trends in technologies that can be used to improve our data focused systems.

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