- MS/Ph.D. in quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS).
- 8+ years of relevant data science or related experience.
- Expert-level experience working with SQL & Python including scikit-learn, numpy, and pandas.
- Expert in working with large-scale machine generated data (e.g., logs, application telemetry, or customer usage data).
- High fluency with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.
- Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and influence decisions.
- The ability to thrive in a dynamic environment, being flexible and willing to jump in and do whatever it takes to contribute to the success of your area.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com