Top Data & Analytics Jobs in San Francisco, CA

As a Senior Analytics Engineer, you will collaborate with various teams to create data models and flows, automate data acquisition, and enhance decision-making tools. You will also build data quality tests and support business users in query and dashboard monitoring.

The Cyber Threat Hunt Analyst is responsible for creating threat models, conducting threat hunt missions, analyzing logs, and developing security content. They will identify patterns in data, assess risk, and collaborate with teams to enhance the enterprise’s security posture.

As an Azure Data Engineer, you'll implement data solutions using Azure's services, focusing on data warehousing, integration, and modeling while adhering to governance and security protocols. You'll be part of both large and small projects, working with cross-functional teams to deliver technical solutions and maintain documentation, while keeping abreast of current technologies.

As a Senior Data Analyst/Steward, you will lead data governance projects, manage centralized data documentation, and perform data analysis to support business initiatives. Collaboration across teams is key as you oversee data quality and communicate governance standards.

The Staff Data Scientist will develop statistical and machine learning models to enhance the operations platform at Honor. Responsibilities include collaborating with teams, designing predictive models, integrating ML into applications, and mentoring team members throughout the project lifecycle.

The Senior Data Engineer will act as a liaison between data science, engineering, and business teams, building a data platform and managing projects from requirements to maintenance. Responsibilities include optimizing data pipelines and infrastructure, working with various stakeholders, and mentoring team members.

In this role, you will lead the AI and data strategy for 1848 Ventures, creating innovative solutions and overseeing the development and deployment of AI applications. You'll collaborate with cross-functional teams and build a high-performing AI team, ensuring data governance and ethical practices while driving business value through advanced data strategies and machine learning models.