Work with a wide range of finance, engineering, and product stakeholders in partnership with the Product Workload Finance team to model and forecast product workloads, define workload financial metrics, and to build tools that enable financial planning under different scenarios
Partner with Product Workload Finance as well as other finance data scientists to design and perform observational studies and tests to understand the uncertainty of the workload forecasts and devise methods to reduce this uncertainty
Perform analytics to shed light on key business questions and present on findings
Research data from key business systems, architect data models and data pipelines, and design end-to-end data apps to support our workload finance team
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.
OUR IDEAL CANDIDATE WILL HAVE :
5+ years of experience in product data science and/or finance data science roles at a technology company
Advanced SQL skills, including experience building complex data pipelines and using SQL to perform analysis
5-7+ years of experience with Python
MS/PhD in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS)
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, high pressure environment. That means being flexible and willing to jump in and do whatever it takes to be successful.
Ability to think creatively to solve problems
An obsession for detail and quality
PREFERRED SKILLS :
Experience with ERP and Financial Planning tools
Familiarity with cloud cost management and understanding of cost structures in cloud environments
Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)
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.