Top Hybrid Data & Analytics Jobs in Austin, TX

The Principal Applied AI Scientist will design, build, and evaluate AI products, collaborating closely with product engineers and managing the AI development lifecycle.

As a Data Scientist, you will collaborate with business leaders to tackle product challenges using predictive analytics, improve data quality, and align analysis efforts with strategic goals. You will define and implement machine learning models, analyze data trends, and mentor the team in Austin.

The Product Business Analyst will analyze data, optimize operations, ensure compliance, and collaborate across teams on alternative investments and mutual funds.

The Market Structure Optimization Engineer analyzes market data, optimizes trading performance, reduces latency, and automates metrics visualization.

The Senior Data Engineer will develop scalable data platforms, manage data pipelines, support ML development, and mentor junior engineers.

As a Data Scientist, you will apply machine learning and statistical models on complex data, collaborate with teams to drive actionable business strategies, and optimize processes for NinjaOne's products and services.

The Data Archivist will develop and manage archival processes for digital and physical game title data, including maintaining the Game IP Asset Index, ensuring data integrity, and providing training on the archive system.