Top Principal Data Scientist Jobs in Austin, TX

The Principal Data Scientist will analyze data to drive pricing strategies, enhance marketplace performance, and collaborate with cross-functional teams to design impactful experiments and dashboards.

Lead development of machine learning models for real-time content ranking, translating business objectives into effective ML solutions while managing experiments and data pipelines.

As a Principal Data Scientist, you'll harness vast property and geospatial data to create analytical solutions, leveraging machine learning techniques and collaborating with engineering and product teams to drive innovation in the data business.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

As a Principal Data Scientist, you will analyze complex data, create measurement techniques, collaborate with teams, and develop models to enhance Zillow Rentals' marketplace performance.

Lead the design and implementation of machine learning models for demand forecasting in hospitality, focusing on Bayesian modeling and model deployment.

The Principal Data Scientist will analyze complex datasets, collaborate with teams to define metrics, mentor junior staff, and communicate insights to enhance Zillow Rentals' products and strategy.

The Principal Data Scientist will enhance payment accuracy in claims and payment integrity, build robust data pipelines, and collaborate across teams to drive data-driven solutions.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

Analyze large data sets, build predictive models, automate data collection, and collaborate with teams to enhance decision-making and performance.

Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.