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Top Senior Level Data Science Jobs in Chicago, IL
The role involves leading a team of quantitative analysts to tackle business challenges using advanced analytics, machine learning, and performance metrics. Responsibilities include guiding risk management practices, analyzing loan origination strategies, and ensuring clear communication of insights and progress to stakeholders.
The Lead Data Scientist will lead the data science team, focusing on search and recommendation products while applying advanced data science methodologies to meet business needs. Responsibilities include model development, mentorship, and collaboration with business partners to drive data science projects.
The Principal Associate, Data Scientist will work within Capital One's Card Intelligence team. Responsibilities include partnering with cross-functional teams to uncover insights from large datasets, building machine learning models, and translating complex data analysis into business goals to improve customer outcomes.
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The Senior Manager will lead R&D teams to develop driver behavior detection algorithms using machine learning from smartphone sensor data. Responsibilities include building team strategy, managing relationships with stakeholders, executing communication strategies, and overseeing model deployment in products.
The Data Analytics Senior Consultant will leverage analytical and technical skills to drive impactful business decisions in commercial insurance. Responsibilities include creating automated scorecards, developing analytics solutions, and collaborating with underwriting leadership to translate strategies into quantitative insights. The role also involves performing ad-hoc data analyses and providing actionable insights across functional areas.
The Applied AI/ML Lead will analyze business problems and develop machine learning and deep learning solutions. Responsibilities include leading AI/ML initiatives, collaborating with teams to define problems, and creating end-to-end ML pipelines. The role requires extensive knowledge of ML models, data science practices, and experience in deploying models in production settings.
The Senior Data Scientist will develop enterprise-scale AI solutions, collaborate with teams to design AI/ML models, and conduct research to improve AI product services. Responsibilities include managing the AI model lifecycle, ensuring quality and accuracy, and leading initiatives across teams.
The Senior Data Scientist will analyze user behavior to drive revenue growth and optimize the product by executing experiments and creating segmentation strategies. The role involves working collaboratively with cross-functional teams and utilizing statistical techniques to derive business insights from complex data sets.
As a Senior Data Scientist at TransUnion, you will develop analytic solutions supporting internal and external clients in credit, fraud, and insurance sectors. Responsibilities include leading multiple projects, creating predictive models, conducting descriptive and prescriptive analysis, and delivering insights through presentations. You will work collaboratively with cross-functional teams and provide support for the development of analytic tools using advanced programming skills.
The Director of Data Science will lead a team of data scientists to deliver insights and computational solutions using data analytics and machine learning for client marketing strategies. Responsibilities include developing algorithms, managing projects, and collaborating with multiple teams while fostering talent development within the team.
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