Snowflake SENIOR DATA SCIENTIST FINANCE 

United States, California 

993747824

• Work with time-series datasets to refine and extend the core forecasting models and algorithms we use for many of our key financial metrics

• Develop and refine ML models that are critical to Snowflake’s business

• Identify and build solutions for operational use cases in forecasting —e.g. further automation, system monitoring and alerting, outlier detection, etc.

• Generate insights into drivers of our business leveraging statistical methods and participate in extending and developing internal tools used for this purpose

• Think creatively to find optimal solutions to our complex, typically unstructured problems.

• MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)

• Extensive experience building production-ready ML models for time series applications

• Experience conducting open-ended research projects and literature reviews

• 5-7+ years of experience with Python and familiarity with SQL

• Experience working with large-scale machine-generated data (e.g., log, application, or customer-usage data).

• Hands-on experience with MPP databases, such as Snowflake, Redshift, BigQuery, Vertica, etc.

• Ability to clearly present 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.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $173,000 - $264,500.
• Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.