Top Remote Data Science Jobs in Madison, WI

As a Data Scientist at Atticus, you will help build a data-driven culture, designing metrics, building data pipelines, conducting experiments, and launching models to improve client outcomes and support decision-making. Your role will involve collaborating with cross-functional teams and contributing to product insights that enhance user experiences.

The Data Scientist III (ML Engineering) will develop and optimize machine learning solutions to improve Cedar’s healthcare platform. Responsibilities include deep data analysis, building pipelines, collaborating with engineering teams, and evaluating model performance to enhance patient experiences.

The Senior Data Scientist will lead the development of analytics-driven solutions to support GM's marketing strategies, utilizing expertise in marketing analytics, model development, and data visualization. They will work closely with teams to optimize media strategy and deliver data-driven insights for business solutions.

The Research Scientist will lead the development of Latent Space Models to advance voice AI capabilities. Responsibilities include creating neural audio codecs, generative models for human speech synthesis, embedding systems for data control, and optimizing architecture for scalable performance in real-time applications.

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.

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.