Senior Data Scientist

San Mateo, CA, USA

Full Time Senior-level / Expert USD 68K - 135K *
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We’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration.

We’re looking for a talented and highly experienced Senior Data Scientist to come aboard. In this role, you will work closely with our Product and Engineering teams to uncover insights and build ML algorithms about how customers use Snowflake, helping to inform Product’s decision making and focus Engineering efforts. You will also work on long-running analytical & ML initiatives marked by greater complexity and less structure that will yield substantial product enhancements. This is a strategic, high-impact role that will help shape the future of Snowflake products and services including Data Marketplace & Exchange, Experimentation, Growth Platforms and Core Services.



  • Sleuth through large amounts of data to uncover feature-usage patterns, mining correlations, subtle issues with the system, potential performance enhancements, and areas to improve user experience.
  • Collaborate closely with Engineers and Product Managers to inform product decision making with data and to identify opportunities to create more value for our customers.
  • Build dashboards and ML infrastructure to help Engineering and Product Managers monitor performance and availability of our system.
  • Answer questions from the executive team for board reporting, publications, strategic investments and industry reports.
  • Think creatively to find optimal solutions to our complex, often unstructured problems.



  • BS/MS in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
  • Expert-level experience working with SQL and relational data (5+ years on a regular basis).
  • 5+ years of experience with Python, including scikit-learn, numpy, and pandas.
  • Experience working with large-scale machine generated data (e.g., telemetry,log, application, or customer-usage data).
  • Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
  • Ability to form data stories to business leaders and technical stakeholders.
  • The ability to thrive in a dynamic hyper growth environment. That means being flexible and willing to jump in and do whatever it takes to be successful.


Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. 

How do you want to make your impact?

* Salary range is an estimate based on our salary survey at

Tags: BigQuery Economics Engineering Excel ML MPP NumPy Pandas Python Redshift Research Scikit-Learn Snowflake SQL Statistics

Perks/benefits: Flex hours

Region: North America
Country: United States
Job stats:  6  2  0
Category: Data Science Jobs
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