Top Data Science Jobs in Austin, TX

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.

The AVP, Research Science and Advanced Analytics leads analytics teams, optimizes client outcomes, ensures quality, and provides technical expertise in healthcare analytics.

Perform remote, project-based annotation of Japanese-language text, images, or video: label, classify, and flag factual errors or sensitive/inappropriate content per guidelines.

The facilitator will guide small classes of learners in Data Science, providing assessments, feedback on projects, and facilitating discussions, while exemplifying Flatiron School's values.

The Staff Data Scientist will lead forecasting efforts, managing revenue and cancellation modeling, automating systems, and enhancing decision-making insights from complex data.

As Senior Director of Data Science at HighLevel, you will lead the data science and analytics strategy, focusing on modeling, experimentation, and insight generation to drive growth and inform product development. You will build and manage a global team, develop AI & ML solutions, and collaborate cross-functionally to ensure data-driven decision making.

The Senior Data Scientist will develop machine learning systems for fraud prevention, contribute to data pipelines, and mentor junior data scientists. This role involves working with complex data signals and collaborating across teams.

The Senior Data Scientist will build data products for insights, develop a data platform, validate impact with partners, and improve technological solutions for student mental health care.

Lead a data science team at Courtyard.io to drive data-driven decisions, build predictive models, and enhance marketing strategies. Manage analytics workflows and collaborate with cross-functional teams.

Support data processing, model maintenance, and analytics reporting. Use SQL/BigQuery, R or Python, and BI tools to prepare datasets, run analyses (including media-mix and incrementality), create visualizations, and support cross-functional presentations and automation efforts.