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Top Principal Data Scientist Jobs in Austin, TX
As a Principal Data Scientist, you'll leverage machine learning to enhance customer financial experiences and drive product innovation. Your role involves collaborating across teams, refining machine learning models, and establishing data science standards while focusing on customer impact and financial inclusion.
The Data Scientist will analyze consumer behavior and engagement across platforms, create full funnel reports, collaborate with marketing and engineering, automate reporting, analyze test data, and manage product partnerships with sales stakeholders.
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.
As a Senior Data Scientist, you will partner with business leaders to advance analytics and operational insights using tools such as Tableau and SQL. Your role involves creating impactful visualizations, optimizing business strategies, and driving efficiency in a dynamic environment while addressing complex challenges and opportunities.
The Data Scientist will partner with business leaders to address challenges using predictive analytics, improve data collection and quality, align analysis efforts with strategic goals, and mentor the data scientist team, while defining and training various models including machine learning and generative AI.
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.
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.
As a Data Scientist II at Oscar, you will utilize AI/ML to enhance member engagement, analyze data usage, and demonstrate the value of communication channels. You will be expected to collaborate with peers, mentor junior staff, and maintain data processes while delivering analytical solutions with minimal oversight.
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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 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.
The Data Scientist will analyze large data sets to identify patterns and optimize performance. Key responsibilities include data collection, preprocessing, building data products, creating predictive models, and collaborating with engineering teams to implement solutions.
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