LiveRamp Ventures invests in companies that help unlock the value of data.
About the role
As we scale our self-service analytics and DS capabilities, we’re looking for a Principal Data Scientist, Analytics to develop scalable data & analytics solutions and framework, and intuitive tools that bring insights directly to business teams. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- MS or PhD in Computer Science, Statistics, Mathematics, or a related field
- 10+ years of experience in Data Science and Analytics, with a track record of delivering high-impact product insights and statistical models at scale
- Expert-level proficiency in Python and SQL, must be comfortable navigating massive datasets in cloud environments (e.g., BigQuery) and possess hands-on experience building complex DS models and utilizing LLM models
- Demonstrated ability to build and scale AI-powered analytics, architect and manage a modern DS stack from the ground up
- Deep understanding of Product Analytics metrics and concepts, ideally within a SaaS or Platform environment
- Exceptional business acumen with the ability to translate vague product questions into concrete technical concepts and roadmap, and articulate business impact to non-technical executive stakeholders
More about this role
LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com .
Job Description
As we scale our self-service analytics and DS capabilities, we’re looking for a Principal Data Scientist, Analytics to develop scalable data & analytics solutions and framework, and intuitive tools that bring insights directly to business teams.
The Principal Data Scientist, Analytics plays a critical role in delivering trusted, scalable analytics solutions to stakeholders across the company, particularly in the Product & Engineering areas. Working closely with architects and data engineers, you’ll help shape data models and pipelines and build Analytics / DS frameworks that serve as the foundation for high-impact dashboards...
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