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Databricks

Staff Data Scientist - Infrastructure

Leads data science initiatives to inform business decisions, generate strategic insights for engineering priorities, and build production ML tooling. Requires 7+ years experience, strong Python/SQL/Spark skills, and MS/PhD in quantitative field.

192k – 260kMountain View, CAData ScienceOnsite7+ YOE
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About the role

The impact you will have:

  • “Analysis at the speed of thought”: Inform decision making by building robust data science tooling for business leaders, analysts, and other data scientists.
  • “Extend capabilities of Databricks”: Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product.
  • “Strategic business insights”: Lead insight generation for top company priorities, and key Engineering initiatives (reliability, and efficiency).
  • Gather changing requirements, define project OKRs and milestones, and communicate progress and results to both technical and non-technical audiences.
  • 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.
  • 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 in production to build data-driven products for solving business problems.
  • Experience collaborating with and understanding the needs of Senior level stakeholders from a variety of functions including: Engineering, Product, and Technical Operations.
  • Ability to deal with ambiguity in fast paced environments by clarifying requirements and having a keen sense of 0 to 1 solutions.
  • Adept at operating both as an individual contributor and identifying how to orchestrate the build through peers and investments in scalable tooling.
  • Strong coding skills in Python and SQL
  • Experience with distributed data processing systems like Spark and familiarity with software engineering principles around testing, code reviews and deployment.
  • M.S. or Ph.D. in quantitative fields (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)

Skills

PythonSQLSparkMachine LearningData ScienceDistributed Data ProcessingSoftware Engineering

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