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Mission
As a Senior Data Scientist, you will have the opportunity to shape the future big data solution landscape for leading Fortune 500 organizations. This position is a senior level customer-facing role that needs deep expertise in Apache Spark along with breadth of big data solution architecture experience. On a weekly basis, you will guide customers through architecture, design and implementation activities while strategically aligning their technical roadmap for expanding the usage of the Databricks platform.
At Databricks we work on some of the most complex distributed processing systems and our customers challenge us with interesting new big data and AI requirements. Data Scientist at Databricks are five-star, self-motivated, rock stars with a history of delivering strong business results in technology and consulting. And since “teamwork makes the dream work” is a fundamental growth value at Databricks, a Senior Data Scientist works internally within a multi-functional team including Account Executives and Customer Success Engineers, all while having a direct channel to the original creators of Apache Spark.
Outcomes
Competencies
About Databricks
Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Salesforce, Viacom, Shell, and HP.
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…
Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.
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