Data Scientist, Finance

Meta is seeking a highly quantitative, driven, and creative Data Scientist for the Finance Data Science team. The Finance DS team is a uniquely data intensive part of Meta's Finance organization and plays a crucial role in delivering key financial insights to management through forecasting, analysis and modeling. This position will primarily focus on analyzing and modeling the financial ecosystem and developing actionable insights for the business to influence decision makers to enable strong financial decision making. The role is highly cross-functional and partner facing, involving coordination across a number of groups within Meta. This role will challenge the candidate to both understand and contribute to many facets of a rapidly growing business, including revenue forecasting, analytics, and strategic decision support. Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment.

Data Scientist, Finance Responsibilities:

• Apply your expertise in quantitative analysis to see beyond the numbers and identify actionable insights and opportunities across Meta’s digital ads business and corporate finance
• Assess market opportunities, analyze current business performance and build statistical models to extrapolate current and historical trends into forward-looking forecasts
• Lead and coordinate cross-functional analytical projects to deepen our understanding of the digital ads ecosystem
• Influence the direction of the business by effectively communicating results to the rest of the team and company leaders

Minimum Qualifications:

• Bachelor's degree in a directly related field, or equivalent practical experience.
• 5+ years of experience conducting quantitative analysis in data science, analytics, or finance
• Fluency in SQL or a similar database querying language
• Experience working with statistical packages such as R, SAS, Stata, etc.
• Academic or work experience with statistics (e.g. regressions, time series, A/B testing)
• Experience in synthesizing strategic insights and problem-solve individually or in a group setting with knowledge on financial drivers of the business
• Experience in shifting priorities while maintaining a degree of organization and control

Preferred Qualifications:

• Development experience in at least one scripting language (Python, JavaScript, etc.)
• Experience in a fast-paced, large-scale company or experience with the digital ads business

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