Staff Data Scientist (Ai)

TL;DR

Staff Data Scientist (AI): Developing and implementing Machine Learning models to detect anomalous activity in products and analyzing the performance and pricing of security-related features with an accent on fraud and abuse detection, using state-of-the-art methods. Focus on identifying SaaS product misuse, enhancing compliance, and protecting Databricks and its customers from threats.

Location: Databricks is headquartered in San Francisco, with offices around the globe.

Salary: $192,000—$260,000 USD

Company

Databricks is the data and AI company.

What you will do

• Develop and implement Machine Learning models to detect anomalous activity in products.
• Analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.
• Collaborate with security engineers, trust and safety experts, and machine learning engineers to build systems and tools that protect Databricks and customers from threats.
• Create solutions and frameworks to meet compliance requirements.
• Gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences.
• Guide junior data scientists and interns on the team by helping with project planning, technical decisions, and code and document review.

Requirements

• 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies.
• Understanding of good software engineering practices around testing, code reviews, and deployment.
• Experience working in a highly cross functional alignment and talking about results to non-technical partners.
• Experience deploying Data Science / ML solutions in production to achieve results.
• Coding skills in SQL and a software development language (preferably Python).
• Experience with distributed data processing systems like Spark and familiarity with software engineering principles.

Nice to have

• Prior experience applying machine learning and data analytics to identify SaaS product misuse and enhance compliance.
• Masters or higher in quantitative fields or equivalent experience in industry.

Culture & Benefits

• Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees.
• Fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.