Top Data Science Jobs in Austin, TX

The Strategic Data Science Lead will drive innovative initiatives and strategic planning using data-driven approaches. Responsibilities include data collection, exploratory data analysis, model development, feasibility analysis, and stakeholder engagement to support strategic initiatives and enhance organizational growth.

The Data Scientist will partner with business leaders to leverage predictive analytics, improve data collection processes, and drive strategic goals using data insights. Responsibilities include building statistical and machine learning models, presenting findings, and mentoring the data scientist team.

As a Staff Data Scientist at Upstart, you will leverage your expertise in data science and machine learning to identify issues with models, analyze data for personalized interventions, and present findings to key stakeholders. You will collaborate with the Machine Learning team to build and evaluate models and write clean and efficient code.

As a Data Scientist-Manager at PwC, you will lead data analysis initiatives that leverage advanced analytical techniques to extract insights from large datasets. You will manage development teams in creating AI and GenAI solutions, mentor team members, and ensure quality deliverables while collaborating with clients on business problems related to AI and Generative AI opportunities.

The Senior Manager of Data Science will lead a team of data scientists, translating business goals into actionable plans, establishing technical vision, and overseeing the development and maintenance of data models and pipelines to improve Oscar's clinical operations. The role involves collaboration with multiple stakeholders to enhance care quality and efficiency.

The Data Scientist will be responsible for designing experiments, monitoring key metrics, analyzing dashboards, building data sets, and making proposals for future projects. The role involves exploratory data analysis, user behavior modeling, and maintaining data infrastructure using Spark and SQL for analyses and pipelines.

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.

The Data Scientist will analyze large datasets to identify patterns and optimize performance. Responsibilities include automating data collection, preprocessing data, creating predictive models, and collaborating with engineering and product teams to develop solutions for business challenges.