Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Senior Data Scientist at Tiger Analytics, you will use machine learning and data science to drive business value, collaborate with teams, and develop innovative solutions.

The Machine Learning Engineer will develop software solutions, optimize data pipelines, and deploy machine learning models using cloud platforms and best practices.

The Finance Director will lead financial planning, oversee budgeting and forecasting, analyze performance against KPIs, and mentor finance team members.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

The Databricks Architect is responsible for designing and implementing scalable data solutions, optimizing performance, and leading initiatives within a dynamic team environment.

The role involves data pipeline development and management using Azure stack, Scala, and Kafka, while ensuring data quality and efficiency with strong analytical skills.

The Gen AI Data Engineer will design and build distributed data systems, develop data pipelines, manage data infrastructure, and integrate technologies for real-time and batch processing, contributing to scalable analytics solutions.

Responsible for designing and implementing scalable solutions on Azure, focusing on UAM architecture, security analysis, and Azure AD integration.

As a Senior Data Analyst, you'll partner with business stakeholders, conduct data analysis, and write complex SQL queries while collaborating in an Agile environment.