Top Analytics Jobs in San Francisco, CA

As a Principal Data Scientist, you will lead the Recommendation & Personalization team in creating AI/ML solutions for Capital One's platforms. Responsibilities include collaborating with cross-functional teams, building machine learning models, and translating complex data insights into business strategies.

The Senior Payroll Compliance Analyst will research payroll compliance rules, communicate changes, assist with internal testing, resolve issues, and guide product development from a regulatory perspective. The role requires collaboration with engineering teams and support for customer care advocates, all while improving processes and maintaining compliance.

The Senior Director of Analyst Relations will lead the analyst relations program, develop strategies aligned with marketing objectives, maintain relationships with industry analysts, drive product awareness, and influence product development based on insights. This role requires collaboration with various stakeholders to enhance company visibility and engagement within the analyst community.

The Senior Manager will oversee fraud risk management within Navan’s travel and expense management sectors, focusing on enhancing fraud detection, prevention, and investigation capabilities. Responsibilities include reviewing current risk management processes, developing strategic management programs, partnering with industry professionals, and leading multiple analytics projects to drive fraud insights.

The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.

The Senior Architect will guide clients in developing Big Data strategies and architecture. Responsibilities include designing data pipelines using tools such as Spark and DataBricks, managing data integrity, coaching team members, and advising on platform selection for data processing.

The Applied Research Scientist will work with a team to develop state-of-the-art deep learning and natural language processing algorithms, build prototypes, and collaborate with product and engineering teams to transition research into products. They will also publish research findings and participate in conferences.