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 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 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 Senior Data Scientist, you will leverage your expertise in analytics to partner with business leads and provide insights through data visualization, drive improvements in customer support, and address performance and growth challenges using analytic solutions.
The Senior Data Engineer will design, develop, and maintain data pipelines, databases, and data infrastructure. They will collaborate with data scientists and architects to ensure high-quality data for analysis, implement security measures, and optimize databases for performance and scalability. Key responsibilities include developing ETL processes and documenting best practices.
As a Senior Manager of Data Science, you will lead the development of a high-performing data science team, translating business challenges into impactful projects. You will coach team members, prioritize tasks that provide business value, and implement solutions while fostering a culture of feedback and collaboration.
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 Staff Data Scientist will lead advanced marketing analytics efforts, developing and implementing AI and machine learning models, enhancing audience targeting strategies, and integrating diverse data sources. They will present insights through data visualization, work cross-functionally to solve complex business problems, and ensure quality deliverables while providing analytical oversight.
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The Staff Data Engineer will design, develop, and deploy data engineering solutions utilizing cloud-based technologies and data analytics frameworks. The role involves collaborating with multi-disciplinary teams, ensuring adherence to data engineering standards, and driving initiatives for continuous improvement within the organization.
As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and app attribution products, working closely with various stakeholders. You should have solid experience in software engineering, data practices, and a background in marketing and product attribution models, predominantly using Python and Java.
The Director of OFRO P&T Risk & Quality will guide risk management efforts at PwC by interpreting policies, managing compliance, and leveraging technology to enhance client engagement. This role includes analyzing market trends, supporting team development, and driving positive stakeholder outcomes while maintaining the firm's ethical standards.
As a Data Engineer at Snap Inc, you will develop data pipelines, work with various stakeholders, improve data quality, and support existing systems. You will also communicate complex projects and ensure timely data availability for reporting needs.
The Senior Data Engineer at Babylist will enhance the company's data platforms focusing on building and scaling Machine Learning pipelines. The role involves collaborating with product managers, analysts, and data scientists to implement data solutions that support product growth and innovation.
The Principal Data Science Engineer will build tools for data analysis, conduct cleaning and feature engineering, and lead machine learning projects. Responsibilities include mentoring junior staff, presenting findings to stakeholders, and developing strategic partnerships. The role also involves applying NLP techniques and managing projects while using agile methodologies.
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.
Design and build data models to support Data Science and Business Intelligence, develop APIs and data products, monitor data pipelines, coordinate cross-team efforts, and work with business partners to document requirements.
The Marketing Technology Data Engineer will oversee data architecture for data integration, transformation, and activation. Key responsibilities include building solutions for real-time and batch data management, developing CI/CD data models, improving data quality, and leveraging Google Cloud tools. Collaboration with cross-functional teams is essential to meet product and client needs.
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 Engineer will focus on designing and building data models, building APIs, monitoring data pipelines, and collaborating with business partners and developers. The role requires experience in SQL, Python, data modeling methodologies, and working in a fast-paced environment.
Join Oscar as a Senior Data Scientist in the Product team to enhance the user experience through modeling and data-driven insights. Collaborate with product and operations teams to quantify user experience for members and providers. Responsible for impacting longer-term strategies, managing data scientists, and maintaining data pipelines and models.
Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists and analysts in leveraging data to improve care coordination and enhance the consumer experience.
As an Analytics Engineer I at Oscar, you will manage the data pipeline between raw data systems and financial data users. You will work with the Finance team to create and optimize Certified Datasets (CDS) and ensure accurate implementation of financial data models in production, collaborating with various stakeholders and maintaining data quality.
As a Senior Data Engineer at CrowdStreet, you will build a new data platform, manage data pipelines, and collaborate with various teams to derive insights from data. Your role encompasses the full software development lifecycle and requires direct interaction with business stakeholders to align data needs with platform capabilities.
The Senior Data Engineer at SADA will focus on developing and optimizing data platforms, working collaboratively with business leads and engineers to drive decision-making through effective data flows and reporting. Responsibilities include mentoring junior staff, leading projects, and engaging in BI tool migrations and big data solutions.
As a Technical Product Manager at Stack Overflow, you will lead initiatives for the Data Team focused on enhancing developer productivity through innovative data-driven products. Your responsibilities include collaborating with Data Scientists, Software Engineers, and cross-functional teams to develop features that leverage unique datasets to improve search performance and user engagement.
Top Austin, TX Companies Hiring Principal Data Scientists
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