Data Science Jobs in Chicago

34

Data Scientist

VillageMD
Chicago
1 day ago
+15
In this role, you’ll be part of our Analytics Platform team, a centralized team providing advanced analytics support across all markets. Our ideal candidate will be based in Richmond, VA, however working out of our corporate office in Chicago will also be considered. 

Digital Analytics Manager

iCrossing
Chicago
1 day ago
Why iCrossing We work at the intersection of bright pixels of creativity, sharp use of data points, innovative tech, and cutting-edge digital know how. That's how we turn brand potential into business performance. And that’s why we stand out. We believe our biggest asset is our combination of different backgrounds, cultures, and disciplines that come together to form one epic unit.  What we do starts with our people. We are part of the Hearst

Big Data Architect

Daugherty Business Solutions
Chicago
2 days ago
As a Big Data Architect you have the ability/experience to: Engage throughout the sales cycle to demonstrate organizational and personal expertise in a specific line of service area. Build new thought leadership and the Daugherty point-of-view on key topics that align with client needs. Support new client services and competency areas.

Senior Business Data Analyst

Daugherty Business Solutions
Chicago
2 days ago
As a Senior Business Data Analyst you will be responsible for the following: Delivering integrated business systems support to users (internal and external to IT), applying an expert understanding of the business issues and the impact of technology. Advocating the initiation of projects, when necessary, to achieve business and IT objectives.

International Data Science Consultant

TransUnion
Chicago
3 days ago
+14
You’ll use varied, leading-edge data aggregation and statistical analysis, the incumbent conducts sophisticated research initiatives aimed at understanding why consumers behave the way they do with credit, what external forces influence that behavior and what lenders need to know to manage the risks and opportunities associated with that behavior. You will develop a strong understanding of consumer credit data and how it applies to industry trends and research. You will drive research and analysis projects around complex market dynamics, including study design, results analysis and final publication. You will translate complex analytical findings into insightful business presentations. You will author articles based on our research for publication in industry-specific journals.  You will speak eloquently on behalf of TransUnion to share our insights at both our own conferences and at 3rd-party industry events. 

Director of Marketing Analytics

Target Data
Chicago
3 days ago
The Director of Marketing Analytics will support Target Data’s Analytics team. The role will primarily be involved in supporting the ongoing analytical needs for a series of clients, which is the foundation of Target Data’s core offering. This role will entail modeling client customer data to identify best prospects, campaign measurement, various ad hoc analysis to drive optimal marketing recommendations. This role is expected to partner with

Manager of Marketing Analytics

Target Data
Chicago
3 days ago
The Manager of Analytics will support Target Data’s Analytics team. The role will primarily be involved in supporting the ongoing analytical needs for a series of clients, which is the foundation of Target Data’s core offering. This role will entail modeling client customer data to identify best prospects, campaign measurement, various ad hoc analysis to drive optimal marketing recommendations. This role is expected to partner with strategists

Senior Data Scientist (Anomaly Detection)

Uptake
Chicago
5 days 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.

Senior Data Scientist

Data Science Software Engineer

Data Analyst

Level Ex
Chicago
5 days ago
+16
Reporting into the Product Department helping to continually define the voice of the customer and business performance through data and analysis. Responsible for data validity and availability across 4 live mobile titles, client projects, and future applications. Delivery of cadenced reporting and analysis to clients on client content KPIs. Administering our current analytics pipeline of Snowflake, PlayFab, LeanPlum, and AppsFlyer. Writing SQL queries for analysis as well as minor ETL details (views, table updates, etc.). Writing new telemetry details to add or change existing event data.  Documentation of pipeline details, potential back-end and front-end changes, changes to telemetry, and syndicate these updates to the correct stakeholders. Authoring JIRA/development job tickets and work with production/project management team to accurately dictate priority among the other asks of development time and effort. Requirements gathering from multiple stakeholders across the company to ensure we are building the required event telemetry in our updates. Working with Quality Assurance to ensure telemetry is correct prior to pushing to live environment.

Data Engineer / Backend Application Developer -- H…

Validate Health
Chicago
5 days ago
 ▪  Design and build scalable backend automation from the ground up using open source languages, libraries and frameworks.  While the most immediate emphasis is on the Python data science and AWS ecosystems, we love to experiment and learn.  So you'll have plenty of opportunity to play with cool technologies and hone your skills.   ▪  Program in a variety of languages and platforms to automate the processing of patient-level healthcare transactions, third party data sources and aggregated public health data.  ▪  Serve as the data wrangler and ETL expert for the company.  Ingest, transform, cleanse and augment internal and external data assets.    ▪  Build algorithms for fuzzy matching, de-duplication and rule-based de-identification.  Fully indulge your love for math, statistics and logical problem solving.  ▪  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).  ▪  Lead data modeling, database design and performance optimization.  Write SQL for defining database objects and performing manipulations.

BI Solutions Architect

HEXstream
Chicago
6 days ago
+16
We are looking for a client-facing solutions architect that can provide the technical leadership for various ongoing analytics projects.  Our ideal candidate will be able to take ownership of their projects and has experience delivering large scale data warehousing and analytics projects. In this role, you will also be working closely with sales and provide thought leadership to help them close new business.  As a solutions architect, you will

Big Data Engineer

Arity
Chicago
6 days ago
+22
This role is responsible for executing multiple tracks of work to deliver Big Data solutions enabling advanced data science and analytics. This includes working with the team on new Big Data systems for analyzing data; the coding & development of advanced analytics solutions to make/optimize business decisions and processes; integrating new tools to improve descriptive, predictive, and prescriptive analytics. This role contributes to the structured and unstructured Big Data / Data Science tools of Allstate from traditional to emerging analytics technologies and methods. The role is responsible for assisting in the selection and development of other team members

Senior Data Scientist - Loss Modeling

Arity
Chicago
6 days ago
+22
Data scientists at Arity use data to make decisions, working closely with data engineers, developers, and product managers. As part of a product team, you’ll develop new predictive models, code and develop tools to make business decisions, integrate external and internal data to improve our modeling results, and more. 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. Success in this role depends on your ability to manage complex projects and adapt quickly to the needs of the business.

Data Scientist / Quantitative Researcher, Systemat…

DRW
Chicago
6 days ago
+30
The main responsibility of the role will be to research, design and implement new quantitative trading strategies. This will entail generating alphas from a variety of traditional and alternative datasets using rigorous statistical methods. To be successful in this role, the ideal candidate will need to build a deep understanding of the underlying datasets and be able to apply the latest scientific algorithms for statistical model development. The candidate will use the team’s custom research infrastructure for simulation, back-testing, and validation of the proposed models.

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. Data Scientist, Customer Insights

Data Scientist, Optimization

Civis Analytics
Chicago
1 week ago
We’re looking for a data scientist to work on the Media Attribution and Optimization arm of our Data Science Research and Development team. We are particularly interested in individuals with a background in optimization and marketing (media mix modeling and multi-touch attribution).

Senior Big Data Engineer

Grainger
North Suburbs
1 week ago
+22
The Sr. Big Data Engineer is a key team member who will work with multiple data scientists to solve complex analytics use cases. He/she will be technically involved with identifying, analyzing, obtaining, understanding and moving big data sets through the Grainger Big Data ecosystem. He or she is responsible for moving large data sets from multiple sources and ingest this data into the Grainger’s Data Science lab environment and ultimately deliver ‘information sets’ to data scientists. The role includes hands on data acquisition and integration work using the full Hadoop stack including Sqoop, HBase, Hive, Oozie, Flume, NiFi, etc. as well as other Big Data technologies.

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 Biologist: Phenotypic and genomic da…

Tempus
Chicago
1 week 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.

Data Scientist, Applied Machine Learning

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