Staff Data Scientist

P-57

At Databricks, we are obsessed with enabling data teams to solve the world's

toughest problems, from security threat detection to cancer drug development. We

do this by building and running the world's best Data Intelligence Platform, so

our customers can focus on the high value challenges that are central to their

own missions.

Founded in 2013 by the original creators of Apache Spark, Databricks has grown

from a tiny corner office in Berkeley, California to a global organization with

over 1000 employees. Thousands of organizations, from small to Fortune 100,

trust Databricks with their mission-critical workloads, making us one of the

fastest growing SaaS companies in the world.

Our engineering teams build highly technical products that fulfill real,

important needs in the world. We constantly push the boundaries of data and AI

technology, while simultaneously operating with the resilience, security and

scale that is critical to making customers successful on our platform.

We develop and operate one of the largest scale software platforms. The fleet

consists of millions of virtual machines, generating terabytes of logs and

processing exabytes of data per day. At our scale, we regularly observe cloud

hardware, network, and operating system faults, and our software must gracefully

shield our customers from any of the above.

As a Data Scientist on the Data Team, you will help build a data-driven culture

within Databricks by helping solve product and business challenges. The Data

team also functions as an in-house, production "customer" that dogfoods

Databricks and drives the future direction of the products.

The impact you will have:

* Shape the direction of some of our key data science areas - segmentation,

recommendation systems, forecasting, product analytics, churn prediction and

insights.

* Work closely with Engineering, Product Management, Sales and Customer Success

to understand product usage patterns and trends and make data-driven

decisions, recommendations and forecasts.

* Manage stakeholders for their focus area - gather changing requirements,

define project OKRs and milestones, and communicate progress and results to a

non-technical audience.

* Mentor and guide junior data scientists on the team by helping with project

planning, technical decisions, and code and document review.

* Represent the data science discipline throughout the organization, having a

powerful voice to make us more data-driven

* Build self-serving internal data products to make data simple within the

company.

* Represent Databricks at academic and industrial conferences & events.

What we look for

• * 7+ years of data science, machine learning, advanced analytics experience in
• high velocity, high-growth companies
• * Extensive experience in applying Data Science / ML for the end-to-end
• development and deployment of data-driven products for solving business
• problems.
• * Familiarity with product data science - understanding and tracking customer
• and user behavior using lenses like adoption, churn, cohorts, segmentation
• and funnel analysis.
• * Experience collaborating with and understanding the needs of stakeholders
• from a variety of business functions. We work most closely with Product,
• Sales and Engineering at the moment, but also work with the Marketing and
• Finance organizations.
• * Strong coding skills in general purpose languages like Scala or Python, and
• familiarity with software engineering principles around testing, code reviews
• and deployment.
• * Proficient in data analysis and visualization using tools like R and Python.
• * Experience with distributed data processing systems like Spark, and
• proficiency in SQL.
• * MS or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science,
• Physics, Economics, Operational Research or Engineering)
• 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.