Data Scientist Post Sales

About the Role

Requirements

• 7+ years of experience in 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, Metabase
• Exposure to building ML models to address business challenges
• Ability to perform EDA and cohort analysis and translate them into actionable recommendations
• Proficiency in defining, utilizing, and communicating performance metrics
• Creative problem-solving, strong critical thinking, and results-oriented approach

Responsibilities

• Develop and track metrics to measure and monitor the performance of risk products and risk management strategies
• Conduct in-depth analyses to uncover insights contributing to fraud reduction and higher approval rates
• Translate complex data insights into clear, actionable recommendations for clients
• Build and experiment with ML models to identify fraudulent patterns and enhance detection
• Work with engineers on data instrumentation
• Create and automate self-serve dashboards using BI tools
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions
• Collaborate on implementing risk mitigation solutions aligned with business goals

Benefits

• Equity
• Early exercise for all options including pre-vested
• Remote-first Work from anywhere policy
• Flexible paid time off and year-end break
• Health insurance, dental, and vision coverage for employees and dependents (US and Canada specific)
• 4% matching in 401k / RRSP (US and Canada specific)
• MacBook Pro provided
• One-time home office setup stipend
• Monthly meal stipend
• Monthly social meet-up stipend
• Annual health and wellness stipend
• Annual learning stipend

Skills