Data Scientist, Finance

This position is based in Menlo Park, CA.

Responsibilities:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Build models to compute and explain Infrastructure OPEX and CAPEX costs.
• Identify and measure success of infrastructure investments through goal setting and monitoring of key metrics.
• Collaborate with product, engineering, and data science teams to assess resource allocation based on business needs.

Minimum Qualifications:

• Bachelor's degree in a directly related field or equivalent practical experience.
• A minimum of 12 years of work experience in analytics (minimum of 8 years with a Ph.D.).
• Experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), and/or statistical/mathematical software (e.g., R).

Preferred Qualifications:

• Master's or Ph.D. degree in a quantitative field.
• Experience working in a data science role at a hyperscaler or public cloud.
• Curiosity about the inter-relationship between business outcomes and technology investments.