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Top 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 and GenAI Data Scientist at PwC, you will leverage machine learning techniques to analyze large datasets and develop predictive models. Your role involves statistical analysis, data visualization, and collaborating with clients to address their business challenges using advanced data analytics.
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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.
The Principal Research Scientist will lead research projects focused on sustainability standards, evaluate industry trends, and collaborate with cross-functional teams to enhance sustainable practices. The role involves conducting analyses, developing frameworks, and providing technical guidance while driving continuous improvement in sustainability services.
The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.
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.
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