Top Senior Level Data Science Jobs in Chicago, IL
Seeking a Deep Learning Research Scientist to create novel deep learning systems with a focus on open source projects. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, and advancing the research agenda. Must have a master's degree in Computer Science or related, 5+ years of deep learning experience, strong background in deep learning theory and techniques, and proficiency in Python.
Hiring a Staff Data Scientist to lead the programmatic ads business at Cash App, focusing on optimizing marketing efforts, analyzing large datasets, and building strategic partnerships with product and sales teams. Responsible for driving growth and decision-making through data-driven insights and modeling techniques.
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.
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Responsible for extracting, managing, and analyzing data within the company. Conduct research on business data and communicate findings to stakeholders. Set up processes and systems to work with data efficiently. Manage and escalate risk and customer-impacting issues to management.
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 Geospatial Data Scientist Expert at Arity will be responsible for working with large geospatial datasets, building spatial and machine learning models, and identifying business opportunities for geospatial data science. They will also collaborate with cross-functional teams to develop solutions and enhance Arity's products in the transportation industry.
Build predictive models, analyze data trends, support model implementation, develop tools, establish metrics, conduct A/B testing, collaborate with teams, and communicate strategies.
Lead Data Scientist role at John Deere in Chicago, IL, responsible for driving eCommerce growth and enhancing the digital customer experience through data science projects. Lead and execute projects, mentor junior talent, lead code reviews, and collaborate with global teams. Requires 8 years of analytics experience, proficiency in Python, SQL, and advanced data science techniques.
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.
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