Top Data Science Jobs in Chicago, IL
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.
The Data Scientist will collaborate with cross-functional teams to design innovative products using advanced data science techniques including statistics, machine learning, and natural language processing. Responsibilities include developing algorithms, measuring impacts, and improving data validation and deployment methodologies.
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The Senior Healthcare Data Scientist at Garner will be responsible for building data-driven algorithms to power care navigation, doctor ranking, and healthcare-related financial products by applying medical and healthcare economics understanding. The ideal candidate will have 2-5 years of professional experience in healthcare and/or data science fields, formal training in data science and a branch of healthcare, experience with Python and SQL, and a willingness to contribute to improving the U.S. healthcare system.
As a Data Scientist at RunPod, you will develop predictive models to understand user behavior, optimize conversions, forecast revenue, and collaborate with cross-functional teams to deliver data-driven insights that shape business strategy.
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As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
The Sr. Manager will lead R&D teams to develop driver behavior detection algorithms from smartphone sensor data for Arity. Responsibilities include setting a vision for machine learning applications, aligning with product and engineering teams, and managing diverse data science teams while ensuring successful model deployment and strategic development.
As a Senior Data Scientist at Spring Health, you will work with the Customer Experience team to build data products, analyze member mental health journeys, and provide actionable insights to enhance customer satisfaction and product value. Your role involves collaborating with internal teams and implementing AI/ML capabilities to improve mental health care solutions.
The Senior Data Scientist role focuses on leveraging data to guide product decisions, conduct quantitative research, design experiments, and collaborate with product teams to enhance product features and metrics at Thumbtack.
The Research Scientist, Personal Loans role involves deploying and training machine learning models in a fast-paced environment. You will work within a team that values curiosity and teamwork, focusing on building models that evaluate applicant risk for personal loans and contribute to the company's success.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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