Databricks was founded by the team who created Apache® Spark™, a powerful open source data processing engine built for sophisticated analytics, ease of use, and speed. Databricks is the largest contributor to the open source Apache Spark project providing 10x more code than any other company.

Our mission is to make big data simple, building a unified analytics platform that allows everyone, including ourselves, to gain deep insights and extract values from real-world data.

As a lead data scientist you will lead the data science team to use our own product to extract value from Databricks customer usage data. You will lead the design and creation of our internal data warehouse and data products. You will work closely with executives, Product Management, Engineering, and other stakeholders to provide data-driven solutions. You will be the main driver of our data-driven culture and your work will directly influence the company’s core strategy, future product decisions, and interactions with customers. Join us and work closely with world's leading experts to build a next-generation analytics platform that users love.

Responsibilities

  • Design and lead data scientists to build data warehouse, data analysis notebooks and dashboards, and internal data products that help extract value from our own data.
  • Work closely with leadership, Production Management, and other internal stakeholders to prioritize projects and provide data-driven solutions.
  • Work closely with Engineering to ensure tracking and delivery of profile and usage data.
  • Grow the data science team via hiring and mentoring.

Competencies / Requirements

  • 5+ yrs of industrial experience on data science.
  • Strong desire to work at a rapidly growing startup.
  • Strong communication and presentation skills.
  • Experience with building data warehouse and data products.
  • Solid knowledge of data processing and analytics.
  • General-purpose languages such as Python and Scala.

Pluses

  • Advanced degrees in statistics, computer science, math, or similar fields.
  • Experience managing and hiring data science teams.
  • Experience with distributed data processing systems like Spark and Hadoop.

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Confirmed 9 hours ago. Posted 30+ days ago.

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