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Senior Data Scientist

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Snowflake

2mo ago

  • Job
    Full-time
    Senior & Expert Level
  • Software Engineering
  • Berlin

AI generated summary

  • You need an MS/Ph.D. in a quantitative discipline, 8+ years of SQL and Python experience, expertise in MPP databases, and the ability to communicate data insights effectively to both business and technical stakeholders. Thrive in a dynamic environment and have experience in data application and marketplaces.
  • You will drive initiatives to analyze data patterns, collaborate with teams, build frameworks and pipelines, monitor system performance, and create value for customers at Snowflake.

Requirements

  • 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.

Responsibilities

  • 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

FAQs

What is the role of a Senior Data Scientist at Snowflake?

The Senior Data Scientist at Snowflake will drive high-impact initiatives for the global data application architecture, analyze large amounts of data to uncover patterns and issues, collaborate with Engineering and Product teams, build data pipelines and frameworks, monitor system performance, and provide data-driven insights to inform product decisions.

What qualifications does the ideal candidate for Senior Data Scientist at Snowflake have?

The ideal candidate will have an MS/Ph.D. in a quantitative discipline, expert-level experience with SQL and relational data, proficiency in Python, experience with large-scale machine-generated data, fluency with MPP databases, the ability to communicate data insights to both business and technical stakeholders, flexibility in a dynamic environment, and prior experience in data applications and marketplaces.

What are some key responsibilities of a Senior Data Scientist at Snowflake?

Key responsibilities include driving initiatives for data application architecture, analyzing data to uncover patterns and issues, working closely with Engineering and Product teams, building data pipelines and frameworks, monitoring system performance, providing data-driven insights for product decisions, and answering questions from the executive team.

What kind of projects can a Senior Data Scientist at Snowflake expect to work on?

A Senior Data Scientist at Snowflake can expect to work on long-running analytical initiatives with greater complexity and less structure, as well as projects focused on uncovering feature-usage patterns, system issues, performance enhancements, and user experience improvements. They may also work on creating data apps, dashboards, and analytical frameworks to monitor system performance.

Snowflake

Snowflake delivers the Data Cloud — mobilize your data with near-unlimited scale and performance.

Technology
Industry
5001-10,000
Employees
2012
Founded Year

Mission & Purpose

Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.