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Top Hybrid Data Science Jobs in Chicago, IL
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.
As a Data Scientist II at Grubhub, you will develop and enhance predictive machine learning models for delivery estimation and driver pay, collaborate with cross-functional teams, innovate using advanced tools like AWS and XGBoost, and contribute to MLOps excellence to improve operational metrics.
As an AI & GenAI Data Scientist at PwC, you will leverage advanced analytics and machine learning to extract insights from large datasets. Responsibilities include developing predictive models, conducting statistical analyses, and creating visualisations to address complex business challenges, all while collaborating with clients to deliver AI and Generative AI solutions.
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As a Data Analytics Senior Consultant, you will lead projects to create automated scorecards and scenario analysis tools for underwriting strategies in a commercial insurance context. The role requires strong analytical and technical skills to derive insights from data analytics solutions that support decision-making across the organization, collaborating closely with senior leadership and other teams.
As an Applied AI/ML Lead, you will spearhead large AI/ML initiatives, collaborate with various teams to develop and implement machine learning models, especially for NLP and generative AI applications. You will manage the end-to-end machine learning pipeline and ensure the alignment of technical solutions with business needs, requiring strong communication and leadership skills.
As a Data Science Associate Consultant, you will develop advanced algorithms to solve complex problems, utilize machine learning and statistical techniques to uncover insights, collaborate with clients to present findings, and contribute to thought leadership through research. You will also mentor junior team members and engage in the assessment of new datasets and technologies.
The Data Scientist will partner with cross-functional teams to deliver products using Python, AWS, and machine learning technologies. Responsibilities include developing credit bureau data expertise, creating features from data, performing deep dives into analysis, and improving infrastructure while presenting insights to senior leaders.
Lead the development and implementation of statistical and machine learning models to improve business decisions and member experience. Conduct data analysis, collaborate with internal clients, develop recommendations, and present findings to leadership. Work on risk analytics and ensure compliance with regulations through model validation and documentation.
As a Scientist in Packaging Development, you will engage with cross-functional teams to innovate food packaging solutions, manage technical timelines, and lead package development projects. Responsibilities include rapid prototyping, consumer insights evaluation, and collaboration with various departments to ensure successful product launches that meet design principles and consumer needs.
The Supply Chain AI Specialist will develop and implement GenAI solutions for supply chain challenges, manage large datasets, train and evaluate models, deploy them to existing systems, and collaborate with cross-functional teams. Staying updated with industry trends and contributing to research are also key responsibilities.
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