Mid Level Chicago Startup and Tech Jobs

10

Machine Learning Engineer

Stats Perform
Chicago
2 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:

Software Engineer - Data Platform

Arrive
Chicago
2 days ago
+24
Building and deploying end to end data pipelines. Designing new enterprise data models and ETL processes to populate them. Working with data and software engineers to develop, test, and deploy new data driven solutions. Continuously looking at new technologies that improve our data infrastructure.

Senior Data Engineer

Arrive
Chicago
5 days ago
+24
Arrive is looking to add a Data Engineer to build and maintain cutting-edge, scalable, flexible data pipelines that allow us to run a modern, data-driven business and uncover real-time insights. Reporting to the Lead Data Engineer, this person will take ownership of the reliability and availability of data in our data warehouse in order to support data analysis and storytelling efforts.

Data Analyst - Sales & Forecasting - Air

Hopper
Chicago
3 weeks ago
ABOUT HOPPER At Hopper, we’re on a mission to make booking travel faster, easier, and more transparent. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing travel app -- one that enables our customers to save money and travel more. With over $235M CAD in funding from leading investors in both Canada and the US, Hopper is primed to continue its path toward becoming

Business Analyst

Codal
Chicago
3 weeks ago
+36
Codal is searching for a highly experienced IT business analyst, a strategist with the right combination of technical knowledge and business acumen to provide our clientele with robust, informed solutions. Our ideal candidate will not only conduct rigorous analysis of a business' processes, objectives, and needs, but also translate these goals into functional requirements through comprehensive documentation. They will serve as a liaison between designers, developers, and the client, and recommend decisions based on the insights gained from intensive research.

Data Scientist

relayr
Chicago
1 month ago
+16
Help Relayr build the world’s most advanced IoT Cloud Platform. Develop and assist in developing internal data processing tools. Design, prototype and refine machine learning algorithms. Research new machine learning methods and publish papers. Design, prototype and collaborate with the backend team in implementing large scale data processing systems for the cloud and edge. Perform ad-hoc data analysis and present results. Prototype and iterate quickly. Engage in architectural discussions. Participate in customer workshops to map business goals to the set of products we are developing.

Senior Data Scientist, NLP

Ascent
Chicago
3 months ago
+28
As a Senior Data Scientist working on NLP at Ascent, your day-to-day work will include working closely with business users, our regulation content team, and the rest of our data scientists and engineers to: a) use state-of-the-art NLP to automate significant sections of the workflow involved in onboarding and managing regulations; b) uncover novel features and information from text to enable new product features (e.g. finding related groups of regulation across regulators); c) deploy, monitor, and maintain models to actually solve problems in production; and d) experiment with creative solutions to problems that use new research and tools and disseminate new knowledge to the team. We primarily use the Python data ecosystem, including both scikit-learn and Keras+Tensorflow, but we are open to all tools. We use all kinds of models, including deep learning and non-deep learning; we prefer to use the simplest tool that accomplishes the goal. 

Data Engineer, Python

Ascent
Chicago
3 months ago
+28
As a Data Engineer at Ascent, you will be working closely with other Data Engineers, Data Scientists, business stakeholders, and the broader tech and product team to build applications, pipelines, and infrastructure that accelerates our regulatory data processing. Specifically, we are building a platform that a) ingests, transforms, and manages data (e.g. regulations, customer data, machine learning features, etc); b) deploys and coordinates data microservices such as machine learning models or other transformations; c) facilitates workflows across these microservices and data layers; and d) tests, monitors, and reports on itself.

Senior Data Engineer

Ascent
Chicago
4 months ago
+28
Create a microservice ecosystem behind a consistent, well-documented API. Design and implement data models and database layers that support our machine learning and business intelligence activities. Use creativity and independent thinking to solve technical problems. Communicate clearly and effectively with technical and non-technical colleagues about our data engineering projects. Work closely with data scientists to understand their needs and processes. Work closely with our whole technology team to successfully maintain our data platform alongside the broader technology stack. Implement with an emphasis on tests, maintainability, and clean coding practices to produce simple solutions and reduce technical debt.

Database Developer

Kalderos
Chicago
5 months ago
+24
Build and maintain relational database artifacts and analytic tools that are high-performance, maintainable and flexible. Assist the Database Developer in planning for and acting on requirements for constant growth and expansion of Kalderos’ database environment. Quickly gain expertise with Kalderos’ existing database and business models and provide input on how to continually enhance both. Be the first line of support for questions about data quality and status.  Adhere to and promote software development standards and align them with changing technologies. Continually research and analyze new database frameworks and tools that Kalderos can bring to bear in its continuous improvement journey.

Data + Analytics salaries in Chicago

Job Title Average Salary Salary Range
Junior Data Analyst $47,750
Min: $36K
Max: $63K
Data Analyst $68,822
Min: $42K
Max: $150K
Junior Business Analyst $72,000
Min: $72K
Max: $72K
Business Analyst $73,798
Min: $35K
Max: $180K
Business Intelligence Analyst $83,996
Min: $45K
Max: $135K
Senior Data Analyst $85,202
Min: $60K
Max: $135K
Senior Business Analyst $95,252
Min: $67K
Max: $135K
Business Intelligence Developer $97,422
Min: $74K
Max: $126K
Junior Data Scientist $106,000
Min: $106K
Max: $106K
Analytics Manager $110,843
Min: $80K
Max: $163K
Data Scientist $111,254
Min: $45K
Max: $155K
Data Engineer $119,746
Min: $65K
Max: $165K
Business Intelligence Manager $130,000
Min: $115K
Max: $140K
Senior Data Engineer $135,500
Min: $120K
Max: $162K
Senior Data Scientist $137,939
Min: $47K
Max: $215K
Data Architect $140,182
Min: $68K
Max: $190K
Database Administrator $142,800
Min: $130K
Max: $166K
Director of Analytics $146,241
Min: $103K
Max: $196K
Data Engineering Manager $196,000
Min: $182K
Max: $210K
CIO (Chief Information Officer) $235,194
Min: $157K
Max: $325K

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