Machine Learning Jobs in Chicago

25

Data Scientist

relayr
Chicago
1 day 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.

Sr. Data Scientist

Augmented Intelligence
Chicago
3 days ago
ABOUT AUGMENTED INTELLIGENCE: Augmented Intelligence seeks to transform the social services sector by unlocking the power of artificial intelligence and natural language processing (NLP) to improve operations and practice, drive quality improvements, and help social services agencies more effectively partner with healthcare systems to improve the wellbeing of their communities. JOB SUMMARY: We are looking for a senior data scientist to join our

Senior Machine Learning Engineer

GoHealth
Chicago
6 days ago
+38
Interested in cutting edge Machine Learning techniques in the areas of NLP, Time-Series Forecasting, and Survival Analysis? As a Senior Machine Learning Engineer at GoHealth, you will be responsible for working closely with business stakeholders to build end-to-end data science models across all aspects of our diverse business. This includes projects for call-center traffic projection, agent-behavior modeling, and customer retention decay curves. You will also contribute to the deployment, maintenance and continual improvement of our real-time production models, as well as the underlying AWS deployment pipeline.This role reports directly to our VP of Advance Analytics. 

Data Scientist

Trunk Club
Chicago
1 week ago
+17
Build Machine Learning models that power our apps and inventory classification. Our preferred language is currently Python. Research and develop predictive algorithms using various supervised and unsupervised statistical concepts, such as time series, multivariate methods, GLM, and Bayesian inference. Continue to invest and expand our core skillsets in the areas of big data machine learning techniques, such as gradient boosting, bagging, recommender systems, and NLP. Collaborate with internal and external stakeholders to identify business opportunities, and how to translate the opportunities into actionable analytical solutions. Work with technology partners to test and implement solutions. Communicate and present algorithm solution and outcome with other teams through data visualization.

Associate Actuary

Clearcover
Chicago
1 week ago
+41
Assist in the development of new insurance products. Support multi-state expansion including, but not limited to, rate development, rate filings, and technology support. Leading and/or building predictive models to support customer lifetime value scoring for both potential and current customers. Building actuarial tools to support trending, loss development, reserving, forecasting, rate measurements, segmentation, etc. Assisting with the development of actuarial methodologies. Assisting with the monthly IBNR reserving process. Building and leading a small team of actuarial analysts to accomplish company objectives. Collaborating with Tech Product, Growth, Finance, and Claims on cross functional projects.

Senior Quantitative Researcher, FICC Options Tradi…

DRW
Chicago
2 weeks ago
+38
Research new market features for predictive properties. Identify inefficiencies in the financial markets and characterize them with mathematical models. Predict price movements using statistics, signal processing and machine learning. Design automated trading agents that achieve efficient execution.

Senior Data Scientist

Quantium
Chicago
2 weeks ago
+31
We are a team of diverse and fun data scientists, consultants and sales professionals working in an environment where colleagues quickly become friends. Working in small, cross-functional project teams, you will have lots of opportunity to learn from senior leaders and share your learning with the team too. When we are not working on tough, technical problems, you might find us winding down with a drink in hand in one of our coworking offices (currently based in Bentonville, San Francisco and Chicago). 

Manager of Analytics

Freeosk, Inc.
Chicago
2 weeks ago
+32
- Day-to-Day oversight of Analytics Team; team operating rhythm, team workflow, setting priorities, managing timelines, monitoring documentation, setting expectations with internal and external stakeholders. - Mentor Analysts and Jr. Analysts. - Contribute to growth & development initiatives, including technical skill education. - Act as a sounding board for problem solving. - Collaborate daily/week with other key departments.

Senior Data Scientist, Applied Machine Learning

Tempus
Chicago
3 weeks ago
+34
Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine. Design and prototype novel data visualization and analysis tools and algorithms. Wrangle and analyze large diverse sparse datasets, extract insights, and drive further research opportunities. Interrogate analytical results for robustness, validity, and out of sample stability. Document, summarize, and present your findings to a group of peers and stakeholders. Provide technical leadership & expertise across multiple modeling project.

Data Scientist, Applied Machine Learning

Machine Learning Engineer

Clearcover
Chicago
3 weeks ago
+41
We are looking for an experienced and motivated Machine Learning Engineer to build the pipelines and productionalize high quality machine learning models. You will be an integral part of our Segmentation and Decision Sciences team that is responsible for identifying and targeting customers with expected positive lifetime value. Our team is built to maximize our individual skill sets and includes you, Data Engineers, Data Analysts, and our Actuaries. Together, we will deliver high value models and tools that will take our business decision making and customer acquisition techniques to the next level. 

R&D Engineer, Computer Vision

CCC
Chicago
4 weeks ago
+33
* Identify and implement state-of-the-art computer vision and machine learning methods to automate car insurance industry including segmentation techniques, video classification and object detection/classification. * Collaborate with cross-functional teams to gather and interpret information. * Document and assist in designing software solutions. * Team up with data scientists and machine learning engineers and software engineers to help in translating requirements into applications. * Evaluate new products and technologies and socialize findings. * Design, optimize, and operate AI models. * Work with data scientists and other technical staff to operationalize analysis and machine learning algorithms. * Work extensively with the latest open source tools.

Data & Analytics Senior Consultant

Aptitive
Chicago
1 month ago
+37
Provide data and analytics solutions to local clients throughout the Chicagoland area. Learn and work with cutting-edge technologies. Gain knowledge about industries such as; healthcare, retail, insurance, manufacturing, etc. Lead a team to help design and architect robust data and analytical solutions for our clients . Work directly with clients to understand and document their business needs and technology requirements. Design, code and test data centric solutions. Be involved from the beginning to the end of the System Development Life Cycle (SDLC). Mentor and help grow the careers of others. Assist in the sales process and help develop new business. Contribute significantly to the growth of Aptitive and our clients.

Data and Analytics Associate Consultant

Analytics8
Chicago
2 months ago
+17
Bachelor’s degree in a technical field or equivalent experience. Excellent written and oral communications skills Participating on projects at our customers’ work places. Exposure to Data Modeling Proficiency in SQL Experience with Relational Databases (SQL Server, Oracle). Experience in one or more of the following toolsets: Data Integration Tools (ETL), Business Intelligence Products, and Data Visualization Tools. Understand and implement solutions for business and technical requirements. Contribute as team member on projects. Strong written and verbal communication skills. Assist with creation of high quality project documentation and other project artifacts, including written case studies detailing use cases and project specifics.

Machine Learning Data Scientist

Wolverine Trading
Chicago
2 months ago
+38
We are looking for a Statistical Machine Learning expert to be a member of our Quantitative Research team.  You will be using large data sets to create trading strategies, improve trading, quantitative research and data mining. This work will be challenging, fast-paced, and competitive. You will collaborate with quants and traders to develop and improve trading strategies.

Data Scientist / Quantitative Researcher – High Fr…

Wolverine Trading
Chicago
2 months ago
+38
We are looking for highly skilled and experienced individuals to join a research effort focused on generating high frequency trading alphas in the futures markets. The ideal candidate has direct experience in the alpha research process and understands the workflow from idea generation to production implementation. This opportunity will provide the right candidate the chance to have a large impact on the direction and productivity of a newly formed effort within a successful proprietary trading firm.

Software Engineer - Java - Machine Learning

Productive Edge
Chicago
2 months ago
+20
Provide technical analysis, design, development, and enhancement. Provide process, data and object modeling in a variety of application and database environments. Provide database design, development, and enhancement, as well as management and coordination of changes to existing applications. Maintain senior level expertise and currency in industry-leading technologies.

Data Pipeline Engineer

EMX Digital
Chicago
2 months ago
+35
Stay current with the latest development best practices and apply your findings with the team. Handle data/API's from client-side and server-side communication to back-end collection, manipulation, and analyzation. Work with diverse array of existing products as well as engineer future data products. Collaborate with front-end engineering teams to implement new features into the platform. Have ownership of the data pipeline stack and availability to support in the event of systems failure. Write clean, modular code that is scalable and secure. Ensure optimal database architecture design, table schema design, and query design. Meet certain performance goals including but not limited to data discrepancies, data availability, data granularity, data latency, data security, pipeline errors, and issue response times. Work with a technology stack that includes AWS services, Python, Bash, SQL, GitHub, and more!

Data Science Lead

closerlook, inc.
Chicago
2 months ago
+31
As a data science lead at closerlook, inc., you'll draw on your strong quantitative abilities, effective communication skills, project management experience, and deep understanding of how to operationalize data science efforts. This role will work in close partnership with agency competencies (e.g. Data Development, Media Operations, Strategy, etc.) and with our pharmaceutical clients to create solutions that empower deep insight into our clients’ customers and marketing activities.

SENIOR DATA SCIENTIST

Conversant
Chicago
2 months ago
+48
Manage projects end-to-end from early stage research through development, in consultation with stakeholders. Supervise data scientists and other talent towards successful project deliverables. Use your expertise in data science and/or computer science to research and recommend solutions to our technology and business problems. Provide technology leadership to yield innovative differentiating solutions. Develop an understanding of Conversant’s personalization platform and proprietary datasets. Implement and optimize state of the art algorithms in distributed environments. Work with our Engineering teams to integrate your solutions into Conversant’s platform. Participate fully in our collaborative approach to research and applications projects.

Data Scientist

Enodo
Chicago
3 months ago
+31
Your work will include the development of scalable mathematical models and algorithms to accurately and reliably predict rent, occupancy, and risk-adjusted returns in multifamily properties across the country. These predictions would be established as a function of variables such as bedroom count, unit square footage, year built, year renovated, unit amenities, building amenities, Walkscore, population, demographic data (median income, percent college educated, annual population growth, etc.), and many other factors.

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