Top Data & Analytics Jobs in Austin, TX
Work as a Senior Machine Learning Engineer specializing in Transformational AI at a leading global enterprise software company. Responsibilities include AI exploration, POC data set creation, data pipeline development, rapid prototyping, automated feature engineering, collaboration, and monitoring AI trends. Join a team dedicated to leveraging cutting-edge AI technologies to shape the future of work.
Lead and oversee ML projects from planning to delivery, drive the long-term vision of the team, and collaborate cross-functionally to produce high-quality software artifacts. Requires 8+ years of software engineering experience and at least 4 years in software engineering management.
Seeking a GTM Strategy & Planning Analyst to shape key business decisions and drive growth initiatives within a global organization. Responsibilities include strategic planning, executive support, opportunity identification and analysis, stakeholder engagement, cross-functional projects, and project management.
As a Distinguished Scientist at ServiceNow, you will lead AI initiatives and architect intelligence into products, focusing on cutting-edge technologies like deep learning, large language models, natural language processing, and conversational assistants. You will collaborate with engineering and product teams to drive AI strategies and influence leadership in shaping AI-driven initiatives.
Build cloud-based AI/ML solutions to power intelligent enterprise services. Collaborate with a team to produce quality software. Own code from design to delivery of high-quality solutions.
Build cloud-based AI/ML solutions for enterprise services, collaborate with a team of developers, product managers, and quality engineers, work with product owners to deliver high-quality solutions.
Drive Pricing Analytics and Insights roadmap, build tools and infrastructure for data access, develop advanced research, support analytical needs, mentor team, collaborate with stakeholders, ensure data team support.
Seeking a Senior Incident Response Analyst to handle incident management and data quality tasks. Responsibilities include responding to incidents, identifying root causes, prioritizing incidents, analyzing data quality metrics, implementing data cleansing procedures, and collaborating with stakeholders.
Lead and mentor a team of Data Scientists and UX Researchers, identify and prioritize research opportunities, develop research strategies, collaborate with cross-functional teams, and present insights to senior executives.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that enhance business growth. Define strategy, implement AI use cases, solicit requirements, build accurate models, and educate business teams on model outcomes.
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