Staff Data Scientist

Responsibilities

• Develop and implement Machine Learning models to detect anomalous activity in products
• Analyze performance and pricing of security-related features
• Collaborate with security engineers, trust and safety experts, and ML engineers to build protection systems
• Create solutions and frameworks to meet compliance requirements
• Gather requirements, define project OKRs, and communicate progress to technical and non-technical audiences
• Guide junior data scientists and interns through project planning and code reviews
• Represent the data science discipline and Databricks at academic and industrial conferences

Requirements

• 7+ years of data science, machine learning, and advanced analytics experience
• Experience in high-velocity, high-growth companies
• Understanding of software engineering practices including testing and code reviews
• Experience deploying Data Science and ML solutions in production
• Proficiency in SQL and a software development language, preferably Python
• Experience with distributed data processing systems like Spark
• Masters or higher in quantitative fields or equivalent industry experience

Preferred Qualifications

• Prior experience applying machine learning to identify SaaS product misuse and enhance compliance

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.