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Staff Data Scientist - Trust and Safety

DatabricksSan Francisco, California
On-site Full-time $192K/yr - $260K/yr

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Experience Level

Mid to Senior

Qualifications

To excel in this role, you should possess a strong background in data science and machine learning, with experience in developing and implementing machine learning models for anomaly detection. You will need to analyze the performance and pricing of security-related features and collaborate effectively with product and engineering teams to uncover valuable opportunities. Strong communication skills and the ability to work in a collaborative environment are essential.

About the job

Join Databricks, where we are dedicated to creating the most advanced and secure platform for data and AI. Our commitment to innovation drives us to develop cutting-edge solutions in security, compliance, and governance.

As a vital member of the Trust and Safety Data Science team, you will engage in projects that are essential for maintaining the security and regulatory compliance of the Databricks Platform. Our clients rely on Databricks to safeguard their data while managing millions of virtual machines across three clouds in numerous regions worldwide.

Our engineering teams design highly sophisticated products that address significant real-world challenges. We continuously strive to push the limits of data and AI technology, all while ensuring the security and scalability that are crucial for our customers' success on our platform. We cater to a diverse array of companies with different security and compliance needs. Understanding how our customers utilize our existing features is imperative, involving comprehensive, data-driven analysis of all facets of Databricks' security programs.

Customers entrust us with their most critical data, and our mission is to establish the most reliable data analytics and machine learning platform globally. We are expanding our Trust and Safety Data Science team and seek talented individuals to join our group of “full stack” data scientists. Collaborating closely with engineering and security teams, you will focus on strategic initiatives that enhance the security and safety of Databricks for our clients. Our team employs advanced statistical and machine learning techniques to detect fraud and abuse across our platforms, utilizing state-of-the-art methodologies. For insights into our initiatives, check out our blog post. Engaging in fraud and abuse detection is dynamic and crucial, offering you a chance to significantly impact the security and efficiency of business operations.

For further information, please visit https://www.databricks.com/trust.

About Databricks

Databricks is at the forefront of creating the most secure and innovative platform for data and AI, focusing on delivering unparalleled solutions in security, compliance, and governance. Our commitment to pushing technological boundaries ensures that we meet the diverse needs of our clients in safeguarding their valuable data.

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