Staff Data Science - Trust and Safety
DatabricksSan Francisco, California, United States • Toronto, Ontario, Canada
Posted September 19, 2025
192000 - 260000 USD year
Full Time
About the Company
Databricks is a leading data and AI company offering the Databricks Data Intelligence Platform to help over 10,000 organizations worldwide manage and utilize their data effectively. Core products include Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, enabling advanced analytics, machine learning, and data engineering. Founded by the creators of key technologies in big data and AI, Databricks provides a comprehensive suite of services for cloud computing, open-source solutions, and artificial intelligence operations.
Job Description
Databricks is seeking a Staff Data Science member to join the Trust and Safety Data Science team. This role focuses on developing and implementing machine learning models to detect anomalous activity in Databricks platforms, analyzing security features, and collaborating with security, trust & safety experts. The team works on proactive fraud and abuse detection across the platform. Data-driven solutions are essential for maintaining Databricks' security and customer trust.
Requirements
- 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
- Understanding of good software engineering practices
- Experience deploying Data Science / ML solutions in production
- Coding skills in SQL and a software development language (preferably Python)
- Experience with distributed data processing systems like Spark
- Prior experience applying machine learning and data analytics to identify SaaS product misuse
- Masters or higher in quantitative fields or equivalent experience
- Experience with automated testing, code reviews and deployment
Benefits
- Comprehensive benefits
- Equity
