Top Remote Data Science Jobs in Chicago, IL

The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.

As a Senior Data Scientist, you will develop AI/ML solutions to enhance commercial insurance processes. Key responsibilities include model development, feature engineering, performance monitoring, and collaborating with product and engineering teams. You'll leverage deep learning and NLP to create predictive models for pricing and underwriting while ensuring model robustness and interpretability.

Lead the development of machine learning algorithms for advertising data at Arity, focusing on optimizing ad platforms through predictive analytics. Collaborate with cross-functional teams to analyze vast datasets and improve marketing strategies. Drive innovation in machine learning solutions, experimenting with algorithms, and presenting insights to stakeholders.

As Director of Data Science and AI at Cisco Meraki, you will lead a growing team to apply quantitative methods and develop machine learning models that enhance customer value and drive product development. Your role will involve strategizing AI use cases, overseeing AI/ML solution deployment, and improving data infrastructure in collaboration with various partners across the organization.

As a Data Scientist at RunPod, you will develop predictive models, optimize user retention, and generate revenue forecasts. Collaborating with cross-functional teams, you will translate data insights into actionable business strategies.

The Senior Data Scientist will drive innovative AI/ML capabilities and build data products for customer insights. Responsibilities include refining the product roadmap, analyzing member mental health journey data, and providing leadership in storytelling through data. The role requires close collaboration with customers and internal teams.

As a Senior Data Scientist at Instacart, you will own analytical frameworks, design and interpret experiments, develop statistical models, and build simulations. You'll work closely with product teams to drive insights into product usability and inform improvements, while democratizing data across the organization to enable objective decision-making.