Machine Learning Jobs in Chicago

18

Computer Vision Data Scientist

CCC
Chicago
2 hours ago
+22
CCC information Services, Inc. is seeking a Computer Vision Data Scientist to develop computer vision & deep learning models as part of the Data Science team. The Data Science team at CCC is currently working on the most important strategic initiatives of the company. The Computer Vision Data Scientist will contribute to a photo analytics project with the goal of developing a fully automated solution for an auto collision damage appraisal. We are seeking a candidate who will bolster existing capabilities and suggest new, exciting changes and improvements.

Senior Data Scientist

project44
Chicago
2 days 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.

Solution Architect – Advanced Analytics

Discover Financial Services
Chicago
6 days ago
+30
Discover. A more rewarding way to work. At Discover Financial Services, you’ll find yourself in the company of some of the industry’s smartest and most reliable professionals. And at a company that rewards dedication, values innovation and supports growth. Thrive in an environment that promotes teamwork and shared success. Build on a foundation of mutual respect. Join the company that understands rewarding careers like no other, with this

Data Engineer

Farmer's Fridge
Chicago
1 week ago
Grow our existing cloud and data infrastructure, democratize access to data. Champion the use of data and analytics at the company; be the pioneer of a data-driven culture. Work with tech, marketing, sales, operations, finance and other business functions to scope, design and implement their data needs. Help identify significant data sources and key variables for various business functions. Lead the design and development of the data pipelines to productionize and ingest meaningful business data into a unified data model.

Senior Data Scientist (Anomaly Detection)

Uptake
Chicago
1 week ago
+11
Data science is at the core of what we do at Uptake. We collaborate with engineering, UX, product, and other teams to contribute insights and data science best practices to all parts of the business. For this particular data science role, we are looking for a someone with a STRONG unsupervised and semi-supervised background to act as a technical expert with identifying anomalous periods of behaviour from industrial assets.

Machine Learning Engineer

Machine Learning Engineering Manager

ServiceNow
Chicago
1 week ago
+25
As a part of the core Platform as a Service offering, the Intelligent Automation Development team is building the core machine learning/AI/predictive analytics technology that will power revenue generating business use-cases using customer data to predict desired outcomes automatically; hence delivering a manifold increase in productivity of business processes of ServiceNow customers. The team focuses on operationalizing machine learning and predictive analytics use cases for all ServiceNow business applications. Machine Learning team in ServiceNow is looking for a new leader for enhancing its automation capabilities and providing new offerings to help take us to the next level in enabling people to automate processes. This is a very strategic position for our company. As a Manager in ServiceNow’s machine learning group you will be in a position to hire the best team possible, influence product direction, define architecture and ensure quality of product that eventually makes it to our customers. The right person for this role should be ready to scale out a high performing team of software developers.

Data Engineer / Data Scientist -- Healthcare Analy…

Validate Health
Chicago
1 week ago
With a versatile combination of Data Engineer and Data Scientist roles, you’ll get to play a key role in shaping the delivery of powerful data-driven products that enable sustainable value-based healthcare models. ▪ Leverage the main toolsets: Python, Anaconda stack (Jupyter Notebook, NumPy, Pandas, MatPlotLib/Bokeh, SciPy, Scikit-Learn), Postgres and several AWS services (EC2, RDS, S3, Lambda, Redshift) to... ▪ Automate the processing of patient-level healthcare transactions, third party data sources and aggregated public health data. ▪ Ingest, transform, cleanse and augment internal and external data assets. Build algorithms for fuzzy matching, de-duplication and rule-based de-identification. ▪ Implement mathematical models using Python data science tools. Generate automated simulations and forecasts of large number of scenarios. Fully indulge your love for math, statistics and logical problem solving. ▪ Generate insightful and innovative visualizations and output reports that tell a “data story” and support your findings. ▪ Perform data modeling and performance optimization on relational databases. Write SQL for defining database objects and performing manipulations. ▪ Continuously learn by investigating and adopting new technologies. We love to experiment with cool technologies!

Data Engineer II - Software

Vivid Seats
Chicago
1 week ago
+16
As a Data Engineer, you will build applications and tooling in support of Vivid Seats Data domain. You will help design and build data-oriented applications and services for both internal use and by our productions systems. You will be responsible for extracting data from multiple disparate sources, data cleansing/wrangling, batch processing and streaming of data feeds, and support the data...

Data Scientist

Groupon
Chicago
1 week ago
+10
We are looking for a Data Scientist who will join an influential team to guide the Groupon Goods product roadmap by deriving meaningful insights from the wealth of data we have from our customers, logistics networks and suppliers. You will be building machine learning models which empowers pricing intelligence and supply intelligence initiatives. We need an analytics and...

Data Scientist, Customer Insights

Pricing & Promotions Data Scientist

Sr. Analyst - Short Term Lending

TransUnion
Chicago
1 week ago
+14
Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as SQL, R, SAS, and Python on Linux and PC computing platforms). Translate complex analytical findings into business insights to be shared at industry conferences and potentially published with leading media outlets. Serve as an internal expert on both...

Data Scientist

NORC at the University of Chicago
Chicago
1 week 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.

Quantitative Researcher

DRW
Chicago
1 week 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.

Senior Data Scientist

Trunk Club
Chicago
1 week ago
+16
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.

Data Scientist

Braintree
Chicago
1 week ago
+14
Braintree is seeking experienced Data Scientists to join our Data Organization within the Product/Engineering team. As part of the Analytical Center of Excellence, you will be working with a team of analysts and data engineers to provide data driven solutions for functional teams across the business. The ideal candidate will have a proven track record of working on a data product from conception to delivery. Trainings in mathematically rigorous fields such as statistics, physics or engineering are highly desirable and a huge plus if you have a creative and curious mind for problem solving.

Computational Systems Biologist: Machine Learning…

Tempus
Chicago
2 weeks ago
+10
Research and development of novel imaging data based machine learning algorithms for the product platform. Apply statistical and machine learning methods to analyze large, complex data sets. Communicate highly technical results and methods clearly. Interact cross-functionally with a wide variety of people and teams.

Computational Systems Biologist: Machine Learning for Biological Network Analysis

Data Scientist, Applied Machine Learning

Software Engineer, Applied Machine Learning

Data Scientist

PEAK6 Investments
Chicago
2 weeks ago
+24
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.

Artificial Intelligence (AI) & Machine Learnin…

STATS
Chicago
2 weeks 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.

Senior Data Scientist

Arity
Chicago
3 weeks ago
+22
This role is responsible for leading the use of data to make decisions. This includes the development and management of new machine learning predictive modeling algorithms; the coding\development of tools that use machine learning/predictive modeling to make business decisions; searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions); and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. As an ideal candidate, you appreciate the difference between fitting and implementing statistical models, the importance of good metrics, and the significance of large-volume high-quality data. You can perceive common structure between superficially unrelated problems, and can use this to build tools, algorithms, and products of high value. This role will also begin to manage projects of medium complexity.

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