Data Scientist • Staff

Who you are

You have a strong background in data science with a focus on security and compliance — your experience includes using statistical and machine learning techniques to analyze data and detect fraud. You are proficient in Python and have a solid understanding of data analysis methodologies that help in making data-driven decisions. Your ability to collaborate with engineering and security teams is essential, as you will be working closely with them to ensure the safety of the Databricks platform.

You are a full stack data scientist who thrives in a team environment — you enjoy partnering with others to tackle complex problems and develop innovative solutions. Your analytical mindset allows you to dissect customer usage patterns and derive insights that inform strategic plans. You are committed to building a trusted data analytics and machine learning platform, and you understand the importance of security in this context.

What you'll do

As a Staff Data Scientist, you will lead projects that are critical to the security and compliance of the Databricks platform. You will analyze customer data to understand how existing features are utilized and identify areas for improvement. Your work will involve developing models for fraud and abuse detection, employing state-of-the-art machine learning techniques to enhance the platform's security measures.

You will collaborate with cross-functional teams, including engineering and security, to implement data-driven strategies that ensure the safety of customer data. Your insights will guide the development of features that meet varying security and compliance needs across different markets. You will also be responsible for presenting your findings to stakeholders, helping to shape the direction of the Trust and Safety initiatives at Databricks.

What we offer

At Databricks, you will be part of a team that is dedicated to pushing the boundaries of data and AI technology while maintaining a strong focus on security. We offer a collaborative work environment where your contributions will have a direct impact on our customers' success. You will have opportunities for professional growth and development, working alongside some of the brightest minds in the industry. We encourage you to apply even if your experience doesn't match every requirement — your passion for data science and commitment to security are what matter most.