Data Scientist, Finance

Menlo Park, CA +1 locations Remote

Found: November 21, 2025

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This position is located in Menlo Park, CA.

Compensation:

$253,000/year to $314,000/year + bonus + equity + benefits

Responsibilities:

Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to build and maintain end-to-end models for long-range planning and strategic decisions.
Build models to compute and explain Infrastructure OPEX and CAPEX costs at the company, product, and resource levels.
Leverage understanding of AI and Infrastructure to develop independent point-of-view on ROI of investments in Infrastructure.
Identify and measure success infrastructure investments through goal setting, forecasting, and monitoring of key metrics.
Help define resource allocation policies that are reasonable and actionable from a technical, operational, and financial perspective.
Work with product, engineering, and data science teams to assess the impact of resource reallocation based on changing business needs.
Maintain lineage of decisions around Infrastructure investments and assumptions.
Define, understand, and test opportunities to improve models and drive roadmaps through insights and recommendations.
Partner with Product, Engineering, and cross-functional teams to inform and influence product strategy and investment decisions.

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: