Staff Data Scientist

Full time

Employment Information

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As a Staff Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping work on top priorities for the company. 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 key data science areas critical to Engineering driven efficient growth - customer retention, scalable product offerings, and an efficient and effective in-product / support experience.
  • 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:

  • 12+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companies
  • Extensive experience in applying Data Science / ML in production to build data-driven products for solving business problems
  • Familiarity with applying data science to customer experience and customer facing operations - understanding customer and user behavior to measure experience, and outcomes (retention/churn, task completion, effort, etc.)
  • Experience collaborating with and understanding the needs of stakeholders from a variety of business functions: Product, Engineering and Technical Operations
  • Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment
  • Experience with distributed data processing systems like Spark, and proficiency in SQL


  • Benefits allowance
  • Employee’s Provident Fund
  • Equity awards
  • Gym reimbursement
  • Annual personal development fund
  • Work headphones reimbursement
  • Business travel insurance
  • Paid Parental Leave

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