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Snowflake SENIOR DATA SCIENTIST 
Germany, Berlin, Berlin 
723946607

02.07.2024
AS A SENIOR DATA SCIENTIST AT SNOWFLAKE YOU WILL:
  • Drive high impactful initiatives for the global data application architecture and provide foundation for all critical telemetry and events to track data apps , its usage & consumption patterns
  • Innovate and build data platforms to store, analyze sleuth through large amounts of data to uncover feature-usage patterns, subtle issues with the system, potential performance enhancements, and areas to improve user experience.
  • Influence and collaborate closely with Engineers and Product Managers and executives to inform product decision making with data and to identify opportunities to create more value for our customers.
  • Build framework and foundational high quality data pipelines , inform engineering for relevant instrumentation of telemetry events and architect the right data model for the product.
  • Build native apps , dashboards/apps & analytical framework to help Engineering and Product Managers monitor performance and availability of our system.
  • Answer questions from the executive team for board reporting, publications, and industry reports.
  • Think creatively to find optimal solutions to our complex, often unstructured problems.
OUR IDEAL CANDIDATE WILL HAVE:
  • MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
  • Expert-level experience working with SQL and relational data (8+ years on a regular basis).
  • 8+ years of experience with Python, including scikit-learn, numpy, and pandas.
  • Expert in working with large-scale machine generated data (e.g., log, application, or customer-usage data).
  • Heavy fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
  • Data storytelling , analysis & learnings to business leaders and technical stakeholders.
  • The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
  • Must have prior experience in data application , apps , app store & marketplace.