What are the responsibilities and job description for the Staff Data Scientist, Business Analytics position at Anyscale?
Staff Data Scientist, Business Analytics
San Francisco or Palo Alto, CAGeneral & Administrative – Operations / Full-time / On-site About Anyscale : At , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like , , , , , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.Proud to be backed by with $250 million raised to date.As a Staff Data Scientist focused on Business Analytics, you will play a key role in establishing the foundation of the data ecosystem and analytics at Anyscale, and will be responsible for designing and building the infrastructure, reporting, and dashboarding to guide strategic decision-making and drive initiatives that support the growth of the business . We are looking for someone with strong attention to detail and focus on data accuracy, with keen curiosity and interest in patterns. The ideal candidate will thrive in a dynamic setting, and will leverage their experience, creativity, and analytical thinking to build and implement scalable solutions for the company. This role reports directly to the Head of FP&A.
Key Responsibilities :
- Build and scale the data platform and foundation at Anyscale across various systems
- Collaborate with cross-functional partners across Sales, Product, Engineering, Marketing, and Finance to support development of key company and business metrics
- Develop dashboards and insights to guide leadership on strategic and investment decisions across
- Ensure data integrity and accuracy through establishing and maintaining data pipelines and reporting layers
- Drive consumption insights and analytics - develop hypotheses and diverse models to test different analytics approaches, methodologies, frameworks, to establish a robust consumption forecast model to support the rhythm of the business
- Develop strategy and support leadership in driving what to build, how to build, and set goals for execution
Qualifications :
