Top Hybrid Data Science Jobs in Chicago, IL
Collaborate with a team to create machine learning solutions for fraud detection and identity verification, utilizing Python and other tools. Develop, implement, and refine machine learning models to reduce business risks and enhance customer experiences. Document processes, improve frameworks, and generate reports for continuous monitoring of analytical systems.
The Manager of Data Engineering at Allies for Community Business is responsible for overseeing data systems, reporting, and compliance requirements. This role involves designing, building, and maintaining data systems, creating reports and visualizations, analyzing data trends, and collaborating with stakeholders to optimize technology stack.
Responsible for providing thought leadership and strategic thinking to solve business problems using analytical techniques. Develop and implement advanced analytics including customer segmentation, optimization, and machine learning algorithms. Deliver presentations of findings and recommendations to leadership. Automate reports and prototype dashboards to provide insights at scale. Continuously improve technical and leadership skills through training and development.
Featured Jobs
Seeking a Senior Associate Data Scientist with expertise in advanced analytics, data visualization, and statistical methods to drive business performance through data insights. Responsible for managing analytics strategy, developing data products, and presenting insights to senior stakeholders.
Lead the data science function in the Devices Software Building Block team at Motorola Solutions by analyzing large volumes of data obtained from IoT devices to provide valuable insights for customers and internal teams.
As a Senior Consultant at Analytics8, you will work with a variety of companies, managing and implementing BI and DWH projects. You will be responsible for managing small projects, gathering customer requirements, mentoring junior consultants, and contributing to upsell opportunities. The role requires advanced knowledge of BI/DW development methodologies, SQL, and experience with data engineering and analytics tools. Strong communication and project management skills are essential.
Lead Data Scientist responsible for applying innovative data science techniques to advance business objectives and transform priority opportunities into incremental business value. Collaborate with business partners to design, develop, and deploy advanced analytics solutions using statistical and machine learning methods. Direct activities of data scientists and ensure quality and consistency of solutions. Minimum qualifications include a Master's degree in data science or related field and 5+ years of relevant work experience.
The IT Business Analysis, Sr Specialist is responsible for formulating and defining system scope and objectives based on user needs and business requirements. They lead project teams, collaborate with stakeholders, and develop strategies for project deliverables. The position requires a solid understanding of the insurance industry, business operations, and system development life cycle. This is a hybrid position located in Chicago, IL.
The Director of Data Science at McDonald's will lead a team of analysts and data scientists in building statistical, ML, and AI models to solve the organization's biggest challenges. This role involves cross-functional collaboration with various teams across the enterprise and driving data-driven transformation strategies.
The Data Scientist role at TransUnion involves working on multi-million dollar customer engagements, analyzing quantitative marketing data, and developing expertise in big data, marketing, and consulting. Responsibilities include implementing multi-touch attribution models, marketing-mix models, and experimentation studies to enhance marketing effectiveness and ROI.
Top hybrid Companies Hiring Data + Analytics Roles
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