Top Senior Level Data Science Jobs in San Francisco Bay Area
Conduct advanced research and modeling to solve strategic HR challenges and improve the employee experience. Design and execute research studies, analyze survey data, present findings to stakeholders, and provide actionable research insights to senior leaders.
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.
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.
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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.
Looking for a Data Scientist with expertise in fraud and risk to detect and prevent threats to the community. Responsibilities include enhancing risk and fraud measurement, defining experimentation playbook, partnering across the business, building KPIs and actionable dashboards, and advancing best practices.
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.
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.
Manage a team of data scientists within the Marketing Data Science team to improve marketing efforts through Lead Scoring, Media Mix Modelling, Multi-touch Attribution, and Spend Optimization. Partner with marketing leadership and collaborate within the Asana Data Community to drive business success through data science. Educate partners on the positive impact of marketing data science capabilities.
Contribute to building next generation Large Language Models for Enterprise Language Generation, collaborate with a team to develop AI-powered solutions for customers, and work on practical and scalable AI/ML projects.
The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.
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