Top Senior Level Data Science Jobs in Chicago, IL
As a Staff Data Scientist in Marketing at Cash App, you will optimize marketing efforts, analyze marketing campaigns, and collaborate with cross-functional teams to drive business success. Responsibilities include building models, analyzing large datasets, and influencing marketing strategies.
Build AI and Machine Learning solutions for enterprise services, collaborate with a team of developers and product managers, work on cloud-based solutions, and ensure high-quality software delivery.
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.
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The Data Scientist will collect domain context, define hypothesis and prediction tasks, conduct experiments with algorithms, develop models, automate training and predictions, identify insights, and communicate model outputs to stakeholders. Additionally, responsibilities include solving complex business issues, coaching teams, and advising stakeholders on technical issues.
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.
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
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.
Manager, Data Science role in a leading industrial distributor, focusing on developing and deploying statistical and machine learning models to improve business operations. Hybrid position based in Lake Forest, IL or Chicago, IL.
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