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NEXTMOVEFDE careers · United States

Staff Data Scientist - Trust and Safety

AI summary of the role

Develop and implement Machine Learning models to detect anomalous activity in products

What you’ll do

  • Analyze performance and pricing of security-related features and identify opportunities with product and engineering teams
  • Collaborate with security engineers, trust and safety experts, and ML engineers to build protective systems and tools
  • Create solutions and frameworks to meet compliance requirements
  • Guide junior data scientists and interns on project planning, technical decisions, and code review

What you’ll bring

  • 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies
  • Coding skills in SQL and a software development language (preferably Python)
  • Experience with distributed data processing systems like Spark
  • Experience deploying Data Science/ML solutions in production

Technologies

Machine Learning · SQL · Python · Spark · distributed data processing · fraud detection · anomaly detection · SaaS

About Databricks

Unified Data Intelligence Platform (lakehouse + Mosaic AI) used by 10,000+ orgs and 50%+ of the Fortune 500 for ETL, BI, ML, and GenAI.

Private Late

Source and classification

Internal deployment & tooling · Evidence for this classification:

RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and 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
More from the job description

RDQ426R282 Databricks is building the world's best and most secure platform for data and AI. We innovate and 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 also 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 [... source excerpt omitted ...] ity to make a substantial impact in maintaining the security and efficiency of business operations. More information is available at https://www.databricks.com/trust. The impact you will have: You will develop and implement Machine Learning 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 create solution [... source excerpt omitted ...] t compliance requirements at Databricks You will gather requirements, define project OKRs and milestones, and communicate progress to both technical and non-technical audiences. You will guide junior data scientists and interns 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: 7+ years of data science, machine learning, and advanced analytics experience in high-velocity, high-growth companies Understa

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