taff Data Scientist, Analytics - Payments Airbnb has become a platform that connects travelers and hosts from over 81,000 cities around the globe. To power that community, Airbnb is building a world-class payments platform that currently supports over 190 countries, 70+ currencies, connects dozens of payment providers, and transmits billions of dollars per year. Our responsibility? Enable safe payments and meet financial regulations. That means knowing who is paying and getting paid, preventing financial crimes, and generally contributing to a healthy global financial ecosystem. We have a strong team of data scientists, our work is highly sought-after, and our impact on the business is tremendous. If you have a proven background in this field and are excited to help build Airbnb’s community, we want to hear from you. Responsibilities: Defining and evaluating key metrics and understanding what moves them and why Ownership of conceptualizing, developing, and maintaining dashboards and visualizations Investigating evolving fraud trends to extract patterns, identify root causes and propose actionable solutions Communicating analyses and recommendations to cross functional stakeholders for decision making Empowering the team to answer data questions quickly and easily by building high-quality ground truth data sets Build machine learning models to detect high risk users and financial crime activities such as money laundering Qualifications: 8+ years of professional industry experience in a quantitative analysis role Comfortable in SQL and some experience with a programming language (Python or R a plus) Ability to communicate clearly and effectively to cross functional partners of varying technical levels Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights Experience or willingness to learn tools to create data pipelines using Airflow Building clear and easy to understand dashboards (Tableau) and presentations Experience creating and using advanced machine learning algorithms Benefits Stock $2,000 yearly employee travel coupon Competitive salary Paid time off Medical, dental, & vision insurance Life & disability coverage 401K Flexible Spending Accounts Apple equipment Daily breakfast, lunch, and dinner We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.