Top Senior Data Science Jobs in San Francisco Bay Area, CA

As a Principal Data Scientist at Capital One, you'll lead data science projects, develop machine learning models, analyze customer behavior through vast datasets, and collaborate with product and engineering teams to enhance digital customer experiences and combat fraud.

The Senior Data Scientist will enhance revenue for Square's Sales and Account Management through advanced measurement frameworks and machine learning. Responsibilities include developing predictive models, designing experiments, and communicating insights to stakeholders while mentoring junior team members.

The Implementation Data Scientist at Altana will work on integrating the Altana Atlas platform with customers, building analytical workflows, managing custom integrations, and enhancing client experiences through the platform's tools and models. They will engage with senior decision-makers to ensure high satisfaction and effective use of the technology.

In this role, you will lead projects within the Data & Analytics team, focusing on advanced analytics to support finance and strategy. Responsibilities include managing data from various sources, creating models, generating results, and ensuring data integrity while communicating effectively with stakeholders to inform strategic decisions.

As a Senior Data Scientist at Gusto, you will collaborate with cross-functional teams to analyze payments and risk data, identify opportunities for improvement, and communicate insights to stakeholders. Your role will involve applying statistical tools and machine learning methods to enhance product strategies and decision-making.

The Staff Scientist Biostatistics will lead biostatistical activities, develop study protocols and statistical analysis plans, support clinical and real-world evidence study reporting, and contribute to regulatory submissions and publications. This role requires collaboration with cross-functional teams and staying updated on statistical methodologies and industry developments.

Lead and mentor a team of Data Scientists and UX Researchers, prioritizing high-impact research opportunities that drive business value, while overseeing daily operations and fostering a collaborative team culture. Develop research strategies that integrate quantitative and qualitative data to deliver impactful insights, and partner with various departments to align on product and design development.