Databricks is the world's best and most secure platform for data and AI. We deploy industry-leading solutions in security, compliance, and governance.
As a member of the Trust and Safety Data Science team, you will work on projects critical to ensuring the security and compliance of the Databricks Platform. Our customers depend on Databricks to keep their data safe, all while orchestrating millions of virtual machines across three clouds in dozens of regions around the globe.
Our engineering teams build highly technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the security and scale that is critical to making customers successful on our platform. We serve many companies with varying security and compliance needs. To efficiently serve these markets, we need to understand how customers use our existing features. This requires data-driven analysis of all aspects of security programs at Databricks.
Customers trust Databricks with their most valuable data and we have the mission to build the most trusted data analytics and ML platform in the world. We're looking to expand our Trust and Safety Data Science team. You will join a group of "full stack" data scientists who partner with engineering and security teams, focusing on strategic plans that make Databricks secure and safe for our customers. The team will use statistical and machine learning techniques for fraud and abuse detection and design systems that prevent unauthorized access to Databricks and its customer data and infrastructure.
Responsibilities:You will develop and implement models to detect anomalous activity in products that we offer.You will analyze the performance and pricing of security-related features and work with product and engineering teams to identify important opportunities.You will collaborate with security engineers, trust and safety experts, and machine learning engineers to build a variety of systems and tools that protect Databricks and our customers from threats.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, using your powerful voice to make us more data-driven.You will represent Databricks at academic and industrial conferences and events.What we look for:Understanding of basic software security principles.Experience applying machine learning to identify SAAS product misuse.Experience talking about results to non-technical partners.7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies.Experience deploying Data Science / ML solutions in production to achieve 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.Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Local Pay Range: $123,200 — $218,000 USD
About DatabricksDatabricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit mybenefitsnow.com/databricks.
Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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