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Snowflake SENIOR DATA SCIENTIST FINANCE United States, California 477365026
02.07.2024
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AS A SENIOR DATA SCIENTIST AT SNOWFLAKE, YOU WILL :
- 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 $148,000 - $218,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
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