Data Scientist

About the Role

Join our team as a Data Scientist to play a pivotal role in measuring, understanding, and enhancing the performance of our risk strategies. This exciting opportunity involves analyzing complex datasets, designing impactful metrics, building intuitive dashboards, and collaborating cross-functionally to drive data-driven decision-making and optimize outcomes.

Responsibilities

• Develop and track metrics to measure and monitor the performance of risk products and the effectiveness of risk management strategies.
• Conduct in-depth analyses to uncover valuable insights, contributing to fraud reduction and higher approval rates for clients.
• Serve as a client-facing partner, translating complex data insights into clear, actionable recommendations.
• Build and experiment with ML models to identify fraudulent patterns and enhance fraud detection capabilities.
• Work with engineers on data instrumentation.
• Create and automate self-serve dashboards leveraging Business Intelligence (BI) tools.
• Collaborate with cross-functional teams (Business, Product, and Engineering) to understand and translate business requirements into actionable data-driven solutions.
• Collaborate on implementing risk mitigation solutions, ensuring alignment with business goals.

Requirements

• Strong technical background with 7+ years of experience demonstrating high impact in a data-focused role such as product analytics, business analytics, or data science.
• Prior experience in the Fraud/Risk domain.
• Hands-on experience in SQL and Python.
• Expertise in BI tools such as Tableau, Sigma, or Metabase.
• Exposure to building ML models to address business challenges.
• Ability to structure and analyze data, leveraging techniques like Exploratory Data Analysis (EDA) and cohort analysis, transform them into understandable and actionable recommendations, and communicate them effectively across the organization and to clients.
• Proficiency in defining, utilizing, and communicating performance metrics.
• Creative problem-solving, strong critical thinking, and a results-oriented approach.