Data Scientist, Infrastructure Finance (Technical Leadership)

Meta • Menlo Park, CA • 1w ago

Summary:

Meta is seeking a Data Scientist to join a newly formed team in the Finance organization that partners very closely with Product, AI, Infrastructure, Finance and other Data Science teams across the company. These teams are building some of the most cutting edge and transformative AI products in the world that are being rolled out to Meta's 3 Billion+ users. Building these products and features requires tens of billions of dollars of capital each year over a sustained period of time. Managing and optimizing the deployment of this vast capital and the allocation of these resources requires a team that has technical expertise in AI and Infrastructure along with a solid understanding of data science, finance and operations. We are building this team in recognition of the importance of AI and Infrastructure from a product perspective as well as the need to be efficient in our approach to deploying capital and generating returns for our shareholders. This position will use data and analysis to identify and solve product development's biggest challenges and will require one to understand the technical aspects of how AI and Infrastructure are built, operated and used to serve users. This role will help establish the ROI and company-wide prioritization of such investments and work on solving some of the most important technological problems of our times and also ensure that the company makes efficient investments. As an individual contributor, you will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Required Skills:

Data Scientist, Infrastructure Finance (Technical Leadership) 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

Maintain lineage of decisions around Infrastructure investments and assumptions under which those decisions were made to drive accountability for outcomes across the company

Define, understand, and test opportunities and levers to improve our models, and drive roadmaps through your insights and recommendations

Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute 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.)

Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience

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, public cloud, and/or a customer of a public cloud company

Experience partnering cross-functionally with a wide range of teams, deal with ambiguity and present technical content in an easy to understand manner to technical and non-technical teams

Curiosity about the inter-relationship between business outcomes and technology investments and experience translating this to practical models for decision making

Public Compensation:

$206,000/year to $281,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereo@types, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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