Top Data Science Jobs in Chicago, IL
The Director of Data Science at McDonald's will lead a team of analysts and data scientists in building statistical, ML, and AI models to solve the organization's biggest challenges. This role involves cross-functional collaboration with various teams across the enterprise and driving data-driven transformation strategies.
Partner with the Cash App Health organization to analyze large datasets, surface actionable insights, and drive meaningful change to protect customers and their money. Conduct statistical modeling, design A/B experiments, and build metrics for strategy. Communicate findings with cross-functional teams and create data visualizations for partners.
As a Fraud Decision Scientist at Afterpay, responsible for key KPIs for the company's loss metrics with a balance of customer experience. Tasks include setting goals, strategy creation, and collaboration with various teams. Responsibilities also involve detecting fraud trends, writing rules, and monitoring solution performance. Qualifications include 3 years of experience in quantitative fields, fraud risk solutions, data analysis, and strong time management skills.
Manager, Data Science role in a leading industrial distributor, focusing on developing and deploying statistical and machine learning models to improve business operations. Hybrid position based in Lake Forest, IL or Chicago, IL.
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The Data Scientist role at TransUnion involves working on multi-million dollar customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. Responsibilities include implementing multi-touch attribution models, marketing-mix models, and experimentation studies to enhance marketing effectiveness and ROI.
Lead the development of Large Language Models for Enterprise Language Generation to power AI experiences on the NOW platform. Collaborate with engineering and product teams, build elegant architectures, architect reusable components, and influence leadership on AI strategies and trends.
Senior Data Scientist role focusing on marketing analytics and optimization for a SaaS company. Responsibilities include evaluating and improving marketing measurement, developing quantitative models, analyzing customer behavior data, and collaborating with cross-functional teams. Requires a Bachelor's degree in a quantitative discipline and 5+ years of experience using analytics for business decisions.
Join Square as a Senior Data Scientist in the Fraud Risk team to identify and prevent fraud and credit risks. Lead experiments to enhance risk effectiveness and partner with various teams to influence Square's global Risk roadmap. Develop data pipelines, ETL processes, and risk detection strategies to impact Square's priorities and Banking initiatives.
Lead the Products & Technology Risk and Quality team within PwC's One Firm Risk Organization, focusing on technology and data risks, regulatory compliance, and risk management. Responsible for developing, interpreting, and monitoring risk management policies and facilitating client engagement teams in assessing and managing risks effectively.
OppFi is seeking a Credit Reporting Analyst to join their Compliance department, resolving indirect and direct disputes related to credit reporting. The role involves collaborating with various teams to determine root causes of disputes and working with major credit bureaus. Ideal candidates have a Bachelor's degree, 1-2 years of experience in reviewing sensitive information, and proficiency in G-Suite and Microsoft Office. Desirable skills include knowledge of SQL, e-OSCAR system, and Metro 2 format.
Join Arity's Geospatial Data Science team to build scalable distributed machine learning models and extract innovative insights from raw GPS data. Help make transportation smarter, safer, and more useful for everyone by creating actionable insights from geospatial data.
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