Machine Learning Jobs in Chicago

28

Digital Architect

West Monroe Partners
Chicago
6 hours ago
+20
Digital Architect 222 W Adams St, 11th Floor Chicago, Illinois, 60606 United States West Monroe isn’t a startup consulting firm, but we act like one. From day one, our people have the opportunity to make a definitive personal impact for their clients and their careers. What does this mean? It means we seek out the best of the best, and then we challenge them to make us better. If you are looking to be a “behind the scenes” technologist, this isn

Data Scientist

NORC at the University of Chicago
Chicago
1 day ago
In your role as Data Scientist, you will play a key role on the NORC Labs team, helping to deliver new and innovative solutions for our clients, and developing new solutions. You will also work collaboratively with other teams across NORC to help drive innovative work. Tasks can include the development of statistical methodology and computational strategies for data mining, predictive and simulation modeling, forecasting, and data visualization.

Machine Learning Engineer

Uptake
Chicago
2 days ago
+23
Data science is at the core of what we do at Uptake. Machine Learning Engineers are part of the Data Science team working to build the core Machine Learning and AI tools that will power Uptake’s future.

Senior Data Scientist (Anomaly Detection)

Data Scientist - Fraud

TransUnion
Chicago
3 days ago
+14
As an Analyst on our team, you will join a world class group of statisticians, data scientists, mathematicians, and modelers on a mission to extract insights from information and put them to good use. You will have an opportunity to be a part of a variety of analytical projects in a non-siloed environment and be recognized for the work you deliver.  Collaborate with internal and external partners to deliver innovative analytical products and insights. You will be directly involved in the development of predictive modeling and business intelligence solutions for clients such as credit lenders, insurance carriers, and other financial services institutions. Contribute to projects involving descriptive, predictive, and prescriptive analysis leveraging a variety of techniques (such as segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis, and machine learning). Lead small projects and/ or workstreams as a part of larger projects; this may involve delegating tasks to other team members and managing the team to meet deliverables on time. Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as R, SAS, SQL, and Python on Linux and PC computing platforms). Deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers at various levels including an executive audience.

Data Scientist for Insurance Analytics

Sr. Research and Consulting Manager

Predictive Modeler

Data Scientist

SMS Assist
Chicago
3 days ago
+18
·         Uses machine learning to improve and automate processes in SMS proprietary tools. ·         Applies data mining techniques to make recommendations based on data and communicates results through insightful visualizations, reports and presentations. ·         Improves the dataset (or data repository) quality by cleaning the company’s data and collecting information from new sources. ·         Translates advanced business analytics problems into technical approaches in diverse domains such as vendor recommendation, work scheduling and technician dispatch, etc. ·         Collaborates with different teams to develop, refine, and scale procedures and workflows. ·         Fosters a positive team environment. ·         Ensures confidentiality of internal and external data. ·         Performs ad-hoc projects and other duties as assigned.

Data Scientist, Applied Machine Learning - RNA

Tempus
Chicago
3 days ago
+18
Analyze and integrate large diverse clinical, molecular and imaging datasets to extract insights, and drive research opportunities. Redefine patient cohorts for clinical and research insights. Design and prototype novel analysis tools and algorithms. Collaborate with product, science, engineering, and business development teams to build the most advanced data platform in precision medicine. Interrogate analytical results for robustness, validity, and out of sample stability. Document, summarize, and present your findings to a group of peers and stakeholders.

Computational Systems Biologist: Machine Learning for Biological Network Analysis

Computational Systems Biologist: Machine Learning for Biological Network Analysis

Data Scientist, Applied Machine Learning

Software Engineer, Applied Machine Learning

Load 1 more jobs5 jobs at Tempus

Data Science Director

Nerdery
Chicago
4 days ago
+24
As a Data Science Director,  you'll have the opportunity to build and grow the practice while working on engagements with a wide range of clients. We have opportunities to create impact on real business problems with a wide variety of data in Healthcare, Retail, Manufacturing, Financial industries and more.

Senior Business Intelligence Analyst

E15 Group
Chicago
4 days ago
+31
E15 is looking for a self-motivated, solution-oriented Business Intelligence Senior Analyst driven to transform how the food and beverage and sports industries drive their businesses with data.  For this role, we’re looking for an individual with a medium level of experience to join our Data Intelligence team focused on business intelligence, data quality and governance, and enabling business teams throughout E15 and Levy to understand our

Senior Data Scientist

Trunk Club
Chicago
5 days ago
+17
Developing and maintaining Machine Learning infrastructure that powers our ranking models, member apps, inventory classification, etc. Our preferred language is Python and you'll regularly be working with real-time information from Kafka streaming systems. Researching, developing, and implementing predictive algorithms using various regression techniques, deploying them as real-time APIs in our micro-service infrastructure. Utilizing Natural Language Processing to understand text content across products, including reviews and interactions between users, stylists, and products. Using Computer Vision (OpenCV) for image content analysis of novel and existing clothing items: classification, quality, attractiveness, similarity, extraction of features for ranking models. Identifying suspicious transactions and malicious users for Fraud. Can you beat SaaS fraud platforms? We’re betting so. Determining the optimal inventory levels to help us effectively manage inventory needs while meeting revenue goals. Using a range of clustering techniques to identify latent clusters of customers based on purchases, demographics, styles, etc. Brainstorming new tools to help minimize the risk of experimenting with new algorithms.

Senior Data Scientist

PEAK6
Chicago
5 days ago
+26
As a Data Scientist at PEAK6, you are free to explore unique solutions and try fresh ideas that will benefit our trading business and investment companies. You’ll collaborate with some of tech’s and analytics’ sharpest minds to solve the firm’s ever-changing but exciting challenges. Working in tech at PEAK6 means that you’ll always be presented with a variety of new possibilities as you continue to enhance your skills.

Quantitative Researcher

DRW
Chicago
5 days ago
+30
As a Quantitative Researcher, you will develop mathematical models using advanced statistical learning methods to build automated trading strategies across multiple asset classes. Our research team collaborates on idea generation and strategy development, while encouraging independent exploration and original approaches. You will have access to clean data integrated with compute resources and the support of experienced researchers, traders and dedicated software developers. You will conduct quantitative analysis of market data to uncover relationships and identify historical trends. We do not require familiarity with or prior experience in financial markets for this role. We will give you the training you need to be successful.

Data and Analytics Associate Consultant

Analytics8
Chicago
5 days ago
+17
As an Analytics8 professional, you will have the exciting opportunity to work with a variety of companies, ranging from Fortune 500 companies to small businesses. Each project and client is different, giving you the chance to advance your career as you learn about new industries, businesses, and technologies. We are looking for people who are creative thinkers, problem solvers, and have excellent communication skills to translate between business

Senior Computational Research Consultant

Northwestern University
North Suburbs
1 week ago
The Northwestern University Kellogg School of Management has a unique opportunity for a mid career professional who is interested in their scientific computing and data science experiences in an academic setting. As a Senior Computational Research Consultant (SCRC), you will draw on a broad set of technological, creative, and problem-solving skills in order to accelerate and facilitate ambitious academic research. In this role, you will have a

Data Engineer, Python

GoHealth
Chicago
1 week ago
+20
GoHealth is looking for Data Engineers who will be responsible for the design, development, and delivery of data transformation tasks used in transforming data into a format that can be easily analyzed. We are seeking candidates who have experience in data analysis, collection, and optimization for the purpose of informing business decisions. The Data Engineer will work with other team members in owning data pipelines including execution, documentation, maintenance, and metadata management. They will also support the development of the data infrastructure necessary for full scale data science, predictive analytics and machine learning.

Data Scientist, Customer Insights

Groupon
Chicago
1 week ago
+10
The main responsibility for this role is to leverage user signals to drive net adds for Groupon – via activations, reactivations, and reduced attrition. There are many ways to activate/reactivate customers, and the person in this role will help guide decisions on investing in channels, deals, verticals, etc. that drive maximum growth, while strengthening long term customer value.

Pricing & Promotions Data Scientist

Data Scientist - Revenue Optimization

Machine Learning Engineer

GoHealth
Chicago
1 week ago
+20
GoHealth is looking for Machine Learning Engineers who will support GoHealth's marketing, business operations, product engineering, and executive teams using knowledge discovered from the analysis of GoHealth's data. The Machine Learning Engineer is expected to work with the various teams and use data sets to find opportunities for improving GoHealth's software products and business processes.

Data Scientist

project44
Chicago
1 week ago
+15
As an ideal candidate —you are obsessed with data. You analyze large amounts of raw information to find patterns that will help improve our customers. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. You have a passion for machine-learning and research. You are an excellent communicator and collaborator and can work with a diverse group, to get consensus. You have an entrepreneurial mind and thrive in an agile environment.

Artificial Intelligence (AI) & Machine Learnin…

STATS
Chicago
1 week ago
+16
Develop new ideas into AI/ML driven products using our wealth of sports data. Engage with domain experts as well as senior leaders and engineers to effectively deliver interpretable results. Deal with enormous amounts of unstructured data, and developing solutions in a distributed setting.

Data Engineer

ShopRunner
Chicago
1 week ago
As a Data Engineer at Shoprunner, you’ll help power many of our data-backed solutions and manage the large scale data we ingest from our merchant partners. Data Engineering will work in collaboration with our Enterprise, Consumer, and Data Science teams to bring data models to production, power solutions for our merchant partners, and create more personalized experiences for our customers in our never-ending quest to help our shoppers and retailers connect in new ways and new applications.. 

Junior Data Scientist

G2 Crowd
Chicago
1 week ago
+11
Design, Build and Maintain G2 algorithms that aggregate user review data into meaningful scores, visualizations, and comparisons for buyers evaluating technology. Analyze software review data including written text and feature ratings. Support user acquisition by building machine learning models which can identify new reviewers and flagging suspicious reviews. Automate current reporting and support the design of new reports. Support internal decision making and prioritization. Communicate work to technical and non-technical audiences.

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