Top Remote Data Science Jobs in Chicago, IL

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.

The Senior Data Scientist at Veritone will develop and deploy AI solutions involving LLMs and LMMs, handle video understanding projects, lead AI initiatives from inception to production, and communicate data-driven insights effectively. The role requires expertise in deep learning and AI technologies, particularly in managing unstructured data and developing APIs.

The Senior Data Scientist will develop and implement advanced machine learning models that drive marketing strategies. This role requires collaboration with various stakeholders to optimize audience engagement, ensure data-driven decision-making, and extract insights from complex data sets. The role also includes monitoring model performance, creating visualizations, and proposing innovative solutions to business challenges.

The Data Science Senior Manager will manage the functional data science capability, create a data science roadmap, analyze data for insights, and build teams with the right skills. Responsibilities include applying analytics to solve business problems and interfacing with high-level stakeholders.

The Data Scientist will create and deploy models, explore new data sources for predictors of driving risk, collaborate with data engineers and actuaries, and establish data science best practices. They will leverage their data science skills and coding expertise to derive insights from telematics, insurance, and third-party data sources.