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Top Data Science Jobs in Chicago, IL
As a Lead Data Science Analyst, you will analyze large data sets, provide insights to stakeholders, collaborate with teams, and develop advanced analytics solutions using machine learning and optimization techniques. You'll create reports and dashboards, manage projects, and communicate complex data concepts to varying audiences.
As a Data Science Associate Consultant, you will develop advanced algorithms, apply statistical techniques, collaborate with clients to communicate findings, assess new datasets, and mentor junior team members. You will utilize your expertise in big data and analytics to contribute to impactful solutions and thought leadership.
The Manager of Data Science will lead a team of quantitative analysts to solve business problems through advanced analytics and machine learning. They will oversee performance metrics, manage risk within teams, and develop strategies for home loan acquisition through segmentation and optimization. Responsibilities also include coaching, developing insights, and ensuring effective process documentation.
As a Summer Analyst in the Data Science Analyst Program, you will engage in projects focusing on machine learning, data engineering, and visualization to develop innovative solutions. You'll work with experienced data scientists and have the opportunity to influence real-world business decisions by providing insights from data analysis.
As a Director in the Model Risk Office at Capital One, you will lead a team in developing machine learning models and driving data-driven decision-making. You will collaborate with data scientists and engineers to extract insights from large datasets and enhance risk management practices.
As a Data Science Manager at Capital One, you'll oversee the development of machine learning solutions for customer management valuation. Responsibilities include applying advanced machine learning techniques, building model pipelines, ensuring high code quality, and translating data solutions into business outcomes. You'll collaborate with cross-functional teams and communicate with senior stakeholders.
The Senior Data Science Analyst will work with management to execute analytical initiatives, solve business problems using advanced analytics and machine learning, and develop reports and dashboards to monitor performance metrics. They will collaborate with cross-functional teams and communicate findings and recommendations effectively to leadership.
The Lead Data Science Analyst will execute analytical initiatives to address business problems using advanced analytics and machine learning. Responsibilities include developing reports and dashboards, collaborating with cross-functional teams, and enhancing performance through data-driven insights and optimization testing.
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The Principal Data Scientist will execute analytical initiatives, provide strategic insights, and lead analytics development, focusing on areas such as customer segmentation and machine learning to improve business performance.
As a Director of Data Science and AI, you will lead a team to apply quantitative methods and develop ML models to deliver customer value and support product development. You will oversee AI/ML solutions, enhance data infrastructure, and collaborate with cross-functional teams while managing and inspiring your team to achieve strategic goals.
As a Data Scientist Lead Consultant at Arity, you will lead the development of machine learning algorithms using driving and ad platform data. Your role will involve making key technical decisions for implementing models, prototyping solutions, and collaborating with cross-functional teams to optimize the ad platform and enhance revenue.
This role involves leading a team of data scientists to develop and implement advanced analytics solutions for marketing challenges. Responsibilities include leveraging machine learning and AI for customer segmentation, model development, and data engineering tasks, as well as managing client projects to deliver actionable insights.
The Data Scientist - Architect will design, develop, and support high-performing machine learning solutions using Azure tools, and communicate technical details effectively. Responsibilities include assisting business development, conducting customer meetings to determine requirements, and driving solution architecture for Azure consumption.
Conduct detailed analyses, create Data Science roadmaps, communicate methodologies, work on end-to-end solutions, identify solutions for client problems.
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