Senior Data Scientist

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:

• 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.

• Data Analysis & Feature Development:

  • Identify and analyze new fraud detection features using SQL, Databricks, and Python.
  • Build real-time features and implement them effectively.

• 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).

• Ad Hoc Fraud Mitigation:

  • Respond to and mitigate real-time fraud attacks as they occur.

• Reporting & Dashboard Creation:

  • Create and maintain dashboards to monitor key metrics and operational KPIs.
  • Develop comprehensive reporting dashboards for internal use.

• Cross-functional Collaboration:

  • Work closely with Product Managers, Engineers, Operations, and Policy teams.
  • Take projects from conceptualization to execution with minimal supervision.

• Statistical Testing & Efficiency Monitoring:

  • Conduct statistical tests to evaluate the effectiveness of various initiatives.

• ETL & Data Pipeline Management:

  • Create and maintain ETLs and data pipelines for continuous data integration and analysis.

• 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.