Data Scientist - Financial Integrity

Financial Integrity is responsible for mitigating fraudulent and no-compliant financial activity in order to drive trust and integrity for all people and businesses using Meta’s financial ecosystem, while accelerating growth. Our team manages risk & compliance for Meta’s payment ecosystem across Facebook, Instagram, WhatsApp and Reality Labs, with direct impact on Meta's revenue.Meta is seeking an experienced Data Scientist to join the Financial Integrity Data Science team. Our data science team works very closely with Product Managers, Data Engineers, Software Engineers, Economic Researchers, Compliance, and Risk Management to build intuitive, secure products to solve some of the most challenging problems, at a scale that few companies can match. This is technically challenging, will have massive global impact, and you will get to work closely with smart folks on an intellectually challenging initiative.This is a full-time position based in our office in Tel Aviv, Israel.

Data Scientist - Financial Integrity Responsibilities:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
  
  

Minimum Qualifications:

• Experience communicating the results of analyses with product and leadership teams to influence the strategy of the product.
• Experience in SQL and other programming languages.
• 4+ years experience doing quantitative analysis.
• BA/BS in Computer Science, other technical field, or equivalent experience.
• Core statistical knowledge.
• Experience manipulating data sets through statistical software (ex. R, python) or other methods.
  
  

Preferred Qualifications:

• Experience in Financial Products.
  
  

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.