We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. You will play a pivotal role in combating high-risk fraud and scams across our platform, utilizing advanced machine learning and analytical solutions. This position involves end-to-end project ownership, from feature identification to deployment and real-time fraud mitigation.
Key Responsibilities:
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Fraud Detection & Prevention:
- Develop processes to identify and mitigate high-risk fraud and scam activities.
- Analyze and deploy solutions to real-time Square systems to prevent fraud in real-time.
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Data Analysis & Feature Development:
- Identify and analyze new fraud detection features using SQL, Databricks, and Python.
- Build real-time features and implement them effectively.
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Model Building & Machine Learning:
- Collaborate with ML engineers to develop and leverage machine learning models.
- Engage in ML model building activities for fraud detection (approximately 20% of the role).
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Ad Hoc Fraud Mitigation:
- Respond to and mitigate real-time fraud attacks as they occur.
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Reporting & Dashboard Creation:
- Create and maintain dashboards to monitor key metrics and operational KPIs.
- Develop comprehensive reporting dashboards for internal use.
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Cross-functional Collaboration:
- Work closely with Product Managers, Engineers, Operations, and Policy teams.
- Take projects from conceptualization to execution with minimal supervision.
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Statistical Testing & Efficiency Monitoring:
- Conduct statistical tests to evaluate the effectiveness of various initiatives.
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ETL & Data Pipeline Management:
- Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Leadership & Presentation Development:
- Develop and deliver presentations to Square leadership on fraud detection strategies and outcomes.
Requirements
You Have:
- A passion for Square's mission
- 5+ years of relevant experience (or masters degree with 3+ years of experience)
- Self-motivated and able to manage projects from start to finish with minimal supervision
- Strong analytical and problem-solving skills
- High proficiency in SQL and Python
- Familiarity with AWS, GCP, Databricks, Github, Airflow and Looker
- Proven ability to collaborate effectively with cross-functional teams
- Experience in risk, trust and safety, payments, or spam prevention
Join us in making a significant impact by ensuring the safety and integrity of Square's platform through innovative fraud detection and prevention strategies.
Block
Cash App develops unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 47 million monthly active customers.
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