Top Remote Data Science Jobs in Madison, WI

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

As a Staff Data Scientist II, you'll lead research on lead segmentation and bidding optimization, mentor team members, and deliver high-impact solutions using advanced quantitative techniques.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

Develop and deploy machine learning models for fraud detection and prevention, collaborating with teams and ensuring model performance over time.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

The Principal Data Scientist will analyze complex datasets, collaborate with stakeholders, mentor junior team members, and communicate insights effectively.

The role involves leading analytics to optimize customer experience and drive business decisions using advanced analytics and mentoring team members.

Lead the development of reliable AI systems, manage data science strategies, and ensure effective integration of AI into healthcare solutions.

The Senior Data Scientist will develop AI solutions, design autonomous AI systems, and collaborate across teams to influence business strategies using data science. They will focus on building and maintaining machine learning models for healthcare improvement.

Lead Data Scientist responsible for developing AI solutions and managing machine learning models while collaborating with MLOps and DevOps teams to enhance healthcare outcomes.

The Data Scientist will develop and optimize machine learning models, perform data analysis, and collaborate with teams in a FinTech environment.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

Seeking a Data Scientist II to develop AI systems for biomedical applications. Responsibilities include building data pipelines, optimizing AI algorithms, and collaborating with researchers to enhance biomedical research efforts.

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

Seeking a Senior Data Scientist to enhance modeling capabilities and deliver insights in decentralized finance through collaboration and innovative research in the crypto space.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

As a Staff Data Scientist, you will lead quantitative measurement efforts, develop causal inference methods, build ML models, and drive payment strategies via data insights.

As a Senior Data Scientist, you will improve ML systems, design and deploy models, validate strategies, and communicate insights to stakeholders.

As a Data Scientist, you'll develop predictive models and analytics tools to enhance athlete evaluation and team performance, collaborating closely with sports organizations on data-driven insights.

The Senior Data Scientist analyzes complex data to develop analytic solutions, influences business strategy, and makes decisions on technical approaches.

The role involves transforming raw data into consumer features, applying statistical techniques, monitoring performance, building dashboards, and collaborating across teams to enhance decision-making in credit lifecycle processes.