Top Data Science Jobs in Chicago, IL
As a Data Scientist - Presales, you will engage with customers to understand their business problems, define strategies for data analysis, and deliver impactful proofs of concept and reports demonstrating the value of Pricefx software. You will collaborate closely with sales teams to assess data quality and develop machine learning models that support customer-specific objectives.
As a Principal Associate Data Scientist in Fraud Intelligence, you will leverage data science to build and maintain machine learning models that protect customers from fraud. Collaborate with cross-functional teams to derive insights from large data sets and translate complex analytics into business goals.
As a Data Scientist, you will build predictive models for lending decisions, analyze consumer risk behaviors, develop automated reporting dashboards, and collaborate with cross-functional teams to drive insights from data. You'll also support model implementation with software engineers and communicate business strategies to management.
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The Data Science Analyst Program involves collaborating with teams to deliver innovative data science solutions that address business challenges. Interns will gain hands-on experience in machine learning and analytics within a data-driven environment for JPMorgan Chase.
The IT Data/Business Analysis Sr Specialist at CNA will analyze data, create reports, and lead project teams to address business needs. Responsibilities include formulating systems scope, managing project resources, and collaborating with stakeholders to define deliverables. A strong understanding of the insurance industry and data analytics is crucial.
The Senior eCommerce Data Analyst will analyze marketing and customer data, generate reports and dashboards, perform A/B testing, optimize conversion rates, and collaborate with cross-functional teams to drive business decisions based on data insights.
As a Data Science Engineer I, you will build machine learning models, fine-tune deep learning architectures, create feature engineering pipelines, and collaborate to validate model handoffs to customer experiences, all while writing efficient code.
The Manager of Data Science will lead a team focused on leveraging advanced analytical techniques to solve business problems related to credit risk and home loan acquisition. Responsibilities include strategic thinking, team management, performance tracking, and developing analytics frameworks to drive business insights and strategies. The role requires active participation in developing machine learning algorithms and delivering findings to various leadership levels.
The Revenue Operations Analyst optimizes revenue processes and performance by managing the revenue forecasting tool, analyzing sales data, and reporting performance metrics. This role involves enhancing sales operations through data-driven insights and collaborating with sales teams to improve forecasting accuracy and sales processes.
In this role, you will enhance and test models for lending and verification procedures, conduct ad hoc analyses, interpret and communicate data effectively to support risk management, marketing, and operations. You will work alongside a large analytics team utilizing various programming tools for data-driven analysis.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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