Meta is seeking to optimize the deployment of vast capital and allocation of resources for building cutting-edge AI products, requiring a team with technical expertise in AI, Infrastructure, data science, finance, and operations to manage and optimize investments.
Requirements
- Experience with data querying languages (e.g., SQL)
- Experience with scripting languages (e.g., Python)
- Experience with statistical/mathematical software (e.g., R)
- Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience
- A minimum of 12 years of work experience in analytics (minimum of 8 years with a Ph.D.)
- Master's or Ph.D. degree in a quantitative field
- Experience working in a data science role at a hyperscaler, public cloud, and/or a customer of a public cloud company
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 and allocation of Infrastructure resources to various products and software platforms
- Identify and measure success infrastructure investments through goal setting, forecasting, and monitoring of key metrics to understand trends
- 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 do technical, operational and business impact assessments of reallocation of resources based on changing business needs, competitive landscape and product roadmaps
Other
- 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.)
- Must be able to work in a team environment and collaborate with cross-functional teams
- Must be able to communicate technical content in an easy to understand manner to technical and non-technical teams
- Must be willing to work in an environment with ambiguity and present technical content in an easy to understand manner
