Data Science Manager, Business Analytics - Anyscale

Job Title: Data Science Manager, Business Analytics
Job Location: San Francisco or Palo Alto, CA
Job Listing URL: https://jobs.lever.co/anyscale/1cb673c8-9b79-4ecc-bf9a-ebe97c322117
Job Description: About Anyscale:

At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, 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 Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.

As a Data Science Manager, 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.
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:
BS degree in Data Science, Statistics, Information Technology, Business, Operations, or a related discipline
8+ years of industry experience
Strong proficiency in data tools and technologies, such as SQL, Python, or R, and experience with data visualization platforms like Preset, Tableau, Power BI, Databricks, or Looker
Proven ability to design and maintain scalable data ecosystems, including data pipelines, dashboards, and key business metrics, ensuring data accuracy and integrity
Excellent collaboration and communication skills, with the ability to effectively partner with cross-functional teams and present insights to executive stakeholders
Demonstrated experience in leveraging analytics and forecasting models to drive strategic decision-making and business growth