Top Senior Level Data Science Jobs in Austin, TX

As a Senior Analyst on the Growth Analytics Team, you will utilize your analytical skills to drive data-informed decision-making, collaborate with cross-functional teams, lead experimentation and funnel analysis, and communicate insights to influence product strategy and customer acquisition efforts at Self Financial.

As a Senior Manager in PwC Intelligence, you'll support service leaders in enhancing operations and service offerings by conducting market analysis and revenue projections. You'll lead a team to tackle complex business challenges, encourage open communication, and build trust among stakeholders while applying your technical expertise to improve delivery capabilities.

As a Staff Data Scientist at Upstart, you will analyze models, identify improvement opportunities, and report findings to stakeholders. You'll collaborate with the Machine Learning team to build and evaluate models, ensure code quality, and drive data-driven decision-making for business impact.

The Senior Data Scientist will focus on analyzing and providing insights into Babylist's fulfillment and operations, particularly within the supply chain. This role involves collaborating with multiple teams to improve processes and data-driven decision making, with a strong emphasis on reporting and predictive modeling.

The Data Scientist will design experiments, monitor key metrics, build dashboards/reports, perform exploratory analysis, and develop data infrastructure using tools like Spark, Hadoop, and SQL. They will also analyze user behavior and build predictive models to drive strategic decisions.

The Senior Data Scientist develops models and conducts analyses to support and enhance business operations at Oscar. Responsibilities include managing data scientists, collaborating with various functional areas, and maintaining data pipelines and analytical models.

The Principal Data Scientist will lead the design and development of advanced fraud detection solutions for Visa’s payment ecosystem. This role involves collaborating with stakeholders to define business problems as technical data challenges, building data transformations, and developing adaptive learning algorithms to enhance risk prevention efforts.