Staff Data Scientist - Trust and Safety

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 plans that make Databricks secure and safe for our

customers. The team will use statistical and machine learning techniques for

fraud and abuse detection on our platforms using state of the art methods . You

can read more about some of our efforts in this blog post

[https://www.databricks.com/blog/protecting-your-compute-resources-bitcoin-miners-data-lakehouse].

The work in fraud and abuse detection is dynamic and essential, offering an

opportunity to make a substantial impact in maintaining the security and

efficiency of business operations.

More information is available at

https://www.databricks.com/trusthttps://www.databricks.com/trust

[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 solutions and frameworks to meet 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
• * 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.
• * Prior experience applying machine learning and data analytics to identify
• SaaS product misuse and enhance compliance preferred but not required.
• * Masters or higher in quantitative fields or equivalent experience in industry
• Pay Range Transparency
• Databricks is committed to fair and equitable compensation practices. The pay
• range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.
• For more information regarding which range your location is in visit our page
• here
• [https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf].
• Local Pay Range
• $192,000—$260,000 USD

About Databricks

Databricks 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. To learn more, follow Databricks on Twitter

[https://twitter.com/databricks], LinkedIn

[https://www.linkedin.com/company/databricks] and Facebook

[https://www.facebook.com/databricksinc].

Benefits

At 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 click here

[https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit? usp=sharing].

Our Commitment to Diversity and Inclusion

At 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. Individuals

looking for employment at Databricks are considered without regard to age,

color, disability, ethnicity, family or marital status, gender identity or

expression, language, national origin, physical and mental ability, political

affiliation, race, religion, sexual orientation, socio-economic status, veteran

status, and other protected characteristics.

Compliance

If 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.