P-57

At Databricks, we are inspired by helping data teams solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

We develop and operate foundational platforms for Data Scientists and Engineers, ranging from data management, metrics, forecasting and anomaly detection infrastructure, to measurement and experimentation, and beyond. Our offering is evolving at fast-pace as we build the Databricks Data Intelligence Platform, empowering our customers with an outstanding unified platform for data, analytics, and AI.

As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping define, measure and lead top company priorities. The Data team also functions as an in-house, production "customer" that feeds Databricks and guides the future direction of the products.

You will report directly to the Manager, Data Science (Engineering).

The impact you will have:

• You will empower our world-class Data Team by building scaled and automated solutions for product analytics.
• You will empower Bricksters to use insights on product usage patterns to make decisions.
• You will shape the direction of main data science areas such as North Star metrics, segmentation, recommendation systems, anomaly detection, and experimentation.
• You will gather changing requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
• You will guide junior data scientists on the team by helping with project planning, technical decisions, and code and document review.
• You will represent the data science discipline throughout the organization, having a powerful voice to make us more data-driven.
• You will represent Databricks at academic and industrial conferences and events.

What we look for:

• Engineering and data science skills, allowing you to not only understand data, analytics and AI pain-points, but also build scalable solutions to those problems.
• The ability to work with analytics and engineering professionals, reducing silos to exceed what either side could achieve independently.
• 7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• Experience deploying Data Science / ML solutions in production for achieving results.
• Coding skills in Python and SQL
• Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
• Masters or higher in quantitative fields.