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Staff Data Scientist

Databricks
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San Francisco, CA$192k - $260kfull-timePosted 11mo ago

About the role

Databricks is seeking a Staff Data Scientist to shape key data science areas, collaborate across teams, mentor juniors, and drive data-driven decisions within the Data Team. The role focuses on end-to-end data science of product analytics, segmentation, forecasting, and insights to support product and business challenges at scale.

Responsibilities

  • Shape the direction of 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.

Qualifications

  • 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)

Skills

Required:Data sciencePythonSQL
Nice to have:Scala

Benefits

  • For specific details on the benefits offered in your region click here.
Last updated Sep 10, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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