Top Data Science Jobs in Chicago, IL

The Senior/Staff Data Scientist will build and deploy predictive models for consumer decisioning and business optimization, focusing on machine learning and statistical modeling. Responsibilities include model development lifecycle, data exploration, collaboration with teams, and improving product outcomes.

As a Senior Associate Data Scientist, you'll analyze data, develop machine learning models, and collaborate with cross-functional teams to enhance customer experiences.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

As a Data Scientist, you will validate credit risk models, prepare reports, assist analysts, monitor performance, and support automated model training processes. Strong programming and statistical analysis skills are essential.

Build and validate predictive lending models, analyze consumer risk and portfolio impact, implement and monitor models with engineering, develop tooling and automated SQL/Python dashboards, design A/B tests, and communicate actionable insights to senior management.

As a Data Scientist, you will analyze data, build machine learning models, and collaborate with cross-functional teams to enhance customer offerings within the Discover Card portfolio.

As a Principal Associate, Data Scientist, you will develop machine learning models and analytics to combat money laundering, collaborating with a cross-functional team and modernizing risk management practices.

Lead product analytics to inform strategy and optimize user experience: translate business questions into analysis, build reliable analytics infrastructure, run A/B tests and ML/statistical analyses, track funnels and cohorts, support 0-to-1 product launches, and communicate actionable insights to cross-functional teams.

Work with clients and engineers to audit marketing datasets, build analytics pipelines, and apply predictive models (segmentation, attribution, propensity) using SQL, Python, cloud big-data tools, and ML frameworks. Support implementations, develop analytic applications, and communicate findings to drive marketing outcomes.

As a Data Scientist at SentiLink, you'll develop fraud detection models using machine learning, engage in product development, and support analysis across teams. This role emphasizes hands-on technical work and end-to-end project ownership in a fast-paced environment.

The Data Scientist will analyze user behavior, create segmentation strategies, design experiments, and track business metrics to drive growth in a SaaS company.

The Data Scientist will develop predictive models, conduct exploratory analysis, collaborate with teams, build data pipelines, and create visualizations to drive decision-making.

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

Develop and refine credit models, collaborate on new initiatives, conduct A/B testing, and communicate insights to management. Essential for improving lending decisions.

The Associate Data Scientist will develop machine learning models, automate decision-making, and support AI solutions across various operations at UL Solutions, collaborating with multiple teams throughout the project lifecycle.

The Data Scientist will develop analytic solutions and predictive models for TransUnion's clients in financial services and insurance. They will engage with clients, lead projects, and deliver insights using advanced programming and statistical techniques.

As a Data Scientist, you'll develop analytic solutions, lead client engagements, create predictive models, and deliver insights for TransUnion's clients. You'll also work with cross-functional teams and clients, enhancing business initiatives in various industries.

Lead analytic client engagements for financial services customers, develop predictive and prescriptive models, design data extraction and modeling code (R/Python/SQL) on large datasets using Spark/BigQuery, deliver insights to executives, support sales proposals, mentor junior staff, and travel ~10-20%.

The Data Scientist 1 role involves cleaning and analyzing complex datasets, developing statistical models, and communicating insights through data visualizations. Responsibilities include collaborating with teams, maintaining data quality, and keeping up with advancements in the field.

Lead end-to-end data science projects, develop machine learning models, collaborate with stakeholders, mentor team members, and communicate insights effectively.

Embedded on a core business team, define problems and metrics, run analyses, build reports and experiments, surface insights, and drive data-informed decisions end-to-end using SQL/Python.

Embedded within a core business area, own analytics end-to-end: define problems, set metrics, pull and analyze data, run experiments, build reports, surface insights, and drive recommendations and outcomes across product, growth, AI/automation, or partnerships.

Embed within a core business area to define problems, build metrics/reports, run analyses and experiments, surface insights, and drive data-informed decisions end-to-end to improve growth, product, AI/automation, or partnerships.

Lead embedded data science for a business unit (growth, product, AI/automation, or partnerships). Define problems, build metrics, run analyses and experiments, surface insights, and drive decisions end-to-end with stakeholders to improve key business outcomes.

Embed in a business unit to define problems, build metrics, analyses, experiments and reports, surface insights, and drive data-informed decisions end-to-end using SQL/Python and analytics tools.