Top Hybrid Data Science Jobs in Chicago, IL
As an Applied AI Scientist at ZS, you will develop advanced algorithms for data analysis, execute statistical techniques, evaluate emerging datasets, and contribute to thought leadership by researching and publishing on relevant topics.
The Data Science Analyst will work with management on analytical initiatives, developing reports and dashboards while identifying opportunities for business improvement using various analytical techniques. Responsibilities include customer segmentation, optimization, and predictive analytics to enhance strategies and performance.
Develop and implement custom GenAI models for various supply chain challenges, manage large datasets, train and evaluate models, deploy models into existing systems, collaborate with cross-functional teams, stay updated on GenAI technologies, and contribute to research and development.
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The Revenue Operations Analyst optimizes revenue processes and performance by managing the revenue forecasting tool, analyzing sales data, and reporting performance metrics. This role involves enhancing sales operations through data-driven insights and collaborating with sales teams to improve forecasting accuracy and sales processes.
The Senior Renewals Analyst is responsible for improving processes, ensuring the quality and validity of ARR data, and managing relationships with stakeholders. They lead projects with defined business milestones and collaborate with various teams to optimize systems and document improvements, contributing to operational efficiency.
The Data Scientist II at Caterpillar Inc. collaborates with analytics teams to develop data-driven solutions using quantitative methods. Responsibilities include data manipulation and management in a cloud environment, model building with Machine Learning and NLP, and communicating findings through data visualizations and dashboards. The role also involves mentoring junior staff and contributing to the integration and improvement of data pipelines.
As a Manager, Data Scientist in the Application Fraud Team, you will leverage advanced technologies to build machine learning models, collaborate with cross-functional teams, and translate complex data into actionable insights for fraud prevention, enhancing customer experience at Capital One.
The Senior Data Scientist at TransUnion is responsible for developing analytic solutions through consulting for clients within credit, fraud, insurance, and marketing sectors. This role involves leading multiple projects, delivering insights, and enhancing analytic capabilities using programming languages like R and Python, while working collaboratively across teams.
The role involves leading R&D initiatives for productivity improvements within Kraft Heinz, managing projects from conception to commercialization, and executing tests to analyze data. Strong communication and teamwork skills are required to collaborate across various functions. Candidates must possess critical thinking and a technical background.
The Senior Data Scientist will analyze feature requests, design and implement models for large datasets, and utilize AI/ML solutions to improve efficiency. Responsibilities include communication with clients, detailed analysis of business requirements, and leading discussions to determine project priorities. The role requires strong data methodologies and continuous learning in data science advancements.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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