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Databricks

Staff Data Scientist

Staff Data Scientist drives data-driven decisions through segmentation, recommendations, forecasting, and product analytics. Collaborates cross-functionally, mentors juniors, and requires 7+ years experience with Python/Scala, Spark, SQL, and MS/PhD.

192k – 260kSan Francisco, CAData ScienceOnsite7+ YOE
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About the role

Impact You Will Have

  • Shape key data science areas: segmentation, recommendation systems, forecasting, product analytics, churn prediction and insights.
  • Work with Engineering, Product Management, Sales and Customer Success to understand usage patterns and make data-driven decisions.
  • Manage stakeholders: gather requirements, define OKRs, communicate progress to non-technical audiences.
  • Mentor junior data scientists on project planning, technical decisions, code and document review.
  • Represent data science organization-wide to promote data-driven culture.
  • Build self-serving internal data products.
  • Represent Databricks at conferences and events.

What We Look For

  • 7+ years of data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
  • Extensive experience applying Data Science/ML for end-to-end development and deployment of data-driven products.
  • Familiarity with product data science: adoption, churn, cohorts, segmentation, funnel analysis.
  • Experience collaborating with stakeholders across Product, Sales, Engineering, Marketing, Finance.
  • Strong coding skills in Scala or Python, familiarity with software engineering principles (testing, code reviews, deployment).
  • Proficient in data analysis and visualization using R and Python.
  • Experience with distributed data processing like Spark, proficiency in SQL.
  • MS or PhD in quantitative fields (Statistics, Math, Computer Science, Physics, Economics, Operational Research, Engineering).

Skills

PythonScalaSparkSQLRMachine LearningData AnalysisProduct AnalyticsForecastingRecommendation Systems

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