Top Hybrid Data Science Jobs in San Francisco Bay Area
Lead Data Scientist responsible for leading data science projects around consumer pricing, incentives & offers, and insurance. Providing mentorship to peers, building forecasting systems, and supporting the technical roadmap.
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Lead the AI strategy for various business challenges, become a Subject Matter Expert, architect and build innovative models and systems, collaborate with data scientists and engineers, stay at the forefront of AI landscape, engage with the data community, promote best practices, mentor and coach data scientists and engineers.
The Senior Applied Research Scientist at ServiceNow will be responsible for building next-generation Large Language Models (LLMs) for Enterprise Language Generation to enhance AI experiences. The role involves using AI/ML expertise to solve real-world challenges, propose appropriate models, collaborate with teams, and deliver high-quality solutions.
As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will collaborate with AI Product Managers and engineers, troubleshoot data requests and issues, and ensure excellent support to the business units.
Play a major part in building Large Language Models for Enterprise Language Generation to power the NOW platform with AI experiences. Research, propose, and implement models/techniques to solve real-world challenges in a practical and scalable way. Collaborate with a team to produce quality software and deliver high-impact solutions to users.
Featured Jobs
Partner with Cash App Health org to analyze large datasets, derive actionable insights, design A/B experiments, and drive strategic decisions to improve customer experience. Build and report on metrics, create data visualizations, and communicate effectively with stakeholders.
Develop standardized data models to access multi-modal real-world data (RWD) from disparate sources and generate regulatory-grade real world evidence (RWE) in support of GRAIL's mission to detect cancer early.
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The Data Scientist will work with the Monetization team at Notion to accelerate self-serve revenue generation. Responsibilities include analyzing user interactions, defining problems, designing experiments, and collaborating with product, engineering, and marketing teams. Skills required include SQL, Python, R, statistical inference, data mining, and predictive modeling.
The People Scientist at Roblox will work with a diverse team to implement science-based and data-driven solutions for recruiting and human resources challenges. They will partner with subject matter experts to develop employee skills, design and analyze surveys, and evaluate the effectiveness of workplace programs. The ideal candidate has a Ph.D. and industry experience in applied research, expertise in industrial-organizational disciplines, and a passion for using data to make informed decisions.
Build and enhance AI models for Gusto's customers. Develop natural-language interface and improve LLM models. Collaborate with infrastructure teams and research novel AI techniques. Minimum 6 years of software engineering experience.
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.
Seeking a dynamic and experienced Senior Data Scientist to join the Process Scaling team at Asana. Responsible for strategic analysis, key metrics ownership, leading experimentation efforts, applying causal inference methods, and integrating AI and machine learning models into the product. Collaborates with cross-functional teams and contributes to the broader organization's success.
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