Top Data Science Jobs in San Francisco Bay Area
Individual contributor position as a Senior Manager, Data Science in the Emerging ML team at Capital One. Responsibilities include building machine learning models, partnering with business teams, and writing software for data analysis. Ideal candidate is curious, creative, technically proficient, and statistically-minded.
The Principal Data Scientist will lead the AI Foundations team in developing and implementing AI/ML solutions for Capital One's mobile app, collaborating with cross-functional teams to deliver personalized customer experiences.
Lead a team of Data Scientists, apply expertise in quantitative analysis and machine learning, capture business requirements for data solutions, develop data and machine learning roadmap, lead predictive algorithm development, work on computer vision and machine learning outputs, and collaborate with cloud partners for AutoML solutions.
As a Senior Data Scientist at Square Banking, you will partner with cross functional stakeholders to shape and execute strategies for expanding credit eligibility, enhancing loan profit, and improving user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, identifying lending product profiles, and owning business metrics for success.
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Seeking a Director of Data Science to lead a team in leveraging data for business decisions, specifically in marketing. Responsibilities include developing predictive models, analyzing marketing performance, and driving data-informed strategies for growth and monetization. Must have a deep understanding of consumer lifecycle analysis and SaaS operations.
The Staff Research Scientist at ServiceNow will drive significant innovations for Large Language Models (LLM's) for Enterprise Language Generation to power the NOW platform with AI experiences for customers. Responsibilities include applying AI/ML expertise to solve real-world challenges, researching and proposing advanced techniques, contributing to the design and scaling of LLM's, collaborating with a multidisciplinary team, and working on quality software development.
Contribute to building next-generation Large Language Models for Enterprise Language Generation at ServiceNow, collaborating with a team of developers, researchers, and product managers to create AI-powered work experiences.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving foundational Data services for AI and ML solutions. You will collaborate with AI Product Managers, engineers, and BUs to research, troubleshoot, and resolve data requests. The role requires a deep understanding of the NOW platform and the ability to address issues effectively and timely.
Data Scientist/ML Engineer role focusing on developing ML models for commercial banking, payments, and financial services. Requires expertise in Python, PySpark, TensorFlow, and ML Engineering. Opportunity to impact global business with AI systems.
As a Senior Data Scientist at Square Banking, you will partner with various teams to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve user experience on a global scale. Responsibilities include influencing product roadmaps, leading A/B testing for loans growth and optimization, and designing business metrics for success.
Join the People Science & Analytics team at Roblox to deliver insights, drive decisions, and support organizational design and culture using qualitative and quantitative data. Partner with internal teams, analyze large datasets, diagnose operational breakdowns, and provide ad hoc reporting. Requires an MBA or MS in relevant field, advanced data reporting skills, SQL experience, statistical analysis knowledge, and project leadership experience.
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Lead data scientist role responsible for driving strategic vision, growing the team, and developing a world-class data science and machine learning organization. Partner with executive leaders to leverage data science as a strategic differentiator and solve critical company challenges. Required qualifications include 5+ years of hands-on data science experience, strong business acumen, and academic/research foundations.
Data Scientists working on our Clinical Data teams at Unlearn are responsible for building world class internal data products that enable fundamental advancements in machine learning.
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