Top Senior Level Data Science Jobs in San Francisco Bay Area, CA
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.
The Staff Machine Learning Engineer will leverage AI to create tools to enhance engineering productivity at Block. Responsibilities include developing a scalable AI platform, collaborating with teams to improve internal workflows, and driving AI strategy across the organization.
The Staff Data Scientist will work with the Dashboard Analytics team to utilize analytics and machine learning to improve seller engagement and onboarding experiences. Responsibilities include creating metrics, collaborating with engineering, and driving data-driven decisions that impact organizational goals and customer experience.
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As a Senior Manager in the PwC Intelligence team, you'll support leaders in delivering client experiences, conduct market analysis, develop service offerings, and enhance delivery capabilities. You'll address complex business challenges, manage stakeholder needs, and contribute technical expertise while fostering an inclusive environment and facilitating open communication.
The Director of Data Science will lead a team to enhance ad performance understanding, measure ROI, and analyze audience behavior. This role involves building machine learning models, managing analytics projects, and driving data-driven insights for senior executives to improve business outcomes.
The Director of Data Science at Snap Inc will lead a team of data scientists to drive revenue growth through advanced analytics. Responsibilities include building machine learning models, improving data governance, and delivering actionable insights to senior executives. The role focuses on solving complex business questions and enhancing customer engagement using data-driven strategies.
The Principal Data Scientist will drive insights from customer friction to enhance product quality and influence business strategy. Responsibilities include implementing measurement frameworks, machine learning models, and NLP tooling, while mentoring team members and leading training initiatives.
As an Applied Researcher II at Capital One, you will collaborate with a multi-disciplinary team to develop AI-powered products, analyze large datasets, build AI foundation models, and conduct impactful applied research to enhance customer experiences.
In this role, you'll partner with a cross-functional team to deliver AI-powered products, build foundation models, engage in applied research, and leverage a broad tech stack to analyze data and drive business goals.
The Principal Engineer in Decision Science will lead the domain of decision science, focusing on experimentation and causal methods while collaborating cross-functionally to enhance data-driven products and systems. Responsibilities include advocating best practices, mentoring teams, and presenting technical strategies to senior leaders.
As Senior Director of Data Science & Analytics at Roblox, you will shape the data strategy for consumer engagement, focusing on complex marketplace problems, user discovery, and content recommendations. Collaborate with cross-functional teams to enhance product development and drive improvements in user experience across the platform.
As a Distinguished Architect at ServiceNow, you will lead AI initiatives by architecting and integrating advanced technologies into products, collaborate with engineering and product teams, build scalable architectures, influence leadership on AI strategies, conduct competitive analysis, and engage in thought leadership at industry conferences.
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