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Staff Data Scientist - Infrastructure at Databricks | Mountain View, CA

DatabricksMountain View, California
On-site Full-time $192K/yr - $260K/yr

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Experience Level

Mid to Senior

Qualifications

We are looking for candidates with a strong foundation in data science and a passion for driving impactful insights. Ideal applicants should possess: Proficiency in data analysis and statistical modeling. Experience with data visualization tools and techniques. Strong programming skills in languages such as Python, R, or Scala. Ability to work collaboratively in a fast-paced, team-oriented environment. Excellent communication skills, both written and verbal.

About the job

P-57

 

At Databricks, we are passionate about empowering data teams to tackle the world's most challenging problems. Our mission is to create and operate the premier data and AI infrastructure platform, allowing our clients to concentrate on the high-value challenges central to their objectives.

Founded in 2013 by the original creators of Apache Spark, Databricks has expanded from a small office in Berkeley, California, to a global powerhouse with over 1,000 dedicated employees. Thousands of organizations, from small startups to Fortune 100 companies, rely on Databricks for their critical workloads, establishing us as one of the fastest-growing SaaS companies globally.

Our engineering teams are committed to developing highly technical products that meet significant needs in the industry. We continuously push the limits of data and AI technology while ensuring resilience, security, and scalability—key factors in ensuring our customers' success on our platform.

We manage one of the largest software platforms in existence, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we frequently encounter cloud hardware, network, and operating system issues, necessitating that our software effectively shields our customers from such challenges.

As a Data Scientist on the Data Team, you will play a crucial role in fostering a data-driven culture at Databricks by working on the company's top priorities. The Data Team also acts as an internal customer, utilizing Databricks to shape the future direction of our products.

Your Impact:

  • Analysis at the speed of thought: Enhance decision-making capabilities by developing robust data science tools for business leaders, analysts, and fellow data scientists.
  • Extend capabilities of Databricks: Collaborate closely with the Data Platform and Product Engineering teams to integrate data science tools with existing offerings and the core product.
  • Strategic business insights: Spearhead insight generation for key company priorities and essential engineering initiatives focusing on reliability and efficiency.
  • Gather evolving requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical stakeholders.
  • Mentor and guide junior data scientists on the team regarding project planning, technical decisions, and reviews of code and documentation.
  • Represent the data science discipline across the organization, advocating for a more data-driven approach.
  • Act as a representative for Databricks at academic and industry events.

About Databricks

Databricks is a leading data and AI infrastructure platform provider, renowned for its innovative solutions and commitment to excellence. The company has rapidly scaled, transforming from a small startup into a global leader, trusted by thousands of organizations for their mission-critical workloads. Our dynamic culture fosters creativity and collaboration, ensuring that our employees are at the forefront of technological advancements in data and AI.

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