Data Engineering Analyst Lead – Scientist

Job Description:

• Engineer and validate consumer-level attributes from credit bureau and alternative data sources
• Apply statistical techniques to uncover insights and improve predictiveness
• Monitor attribute performance for stability, compliance, and accuracy
• Build dashboards and visualizations (Tableau) to communicate findings
• Collaborate with engineering to productionalize prototypes into scalable solutions
• Partner with product, risk, and business teams to maximize impact across marketing, risk assessment, and collections
• Engage with clients to explain analytics and translate technical results into applicable business insights

Requirements:

• Master's degree in a quantitative field (Statistics, Data Science, Economics, Computer Science)
• 5+ years in data science or advanced analytics within credit or financial services
• Python and SQL skills; experience with Tableau or similar BI tools
• Experience with credit bureau and alternative data
• Experience designing and deploying consumer attributes for production
• Client-facing experience in analytics or credit risk
• Familiarity with AWS or other cloud platforms
• Knowledge of regulatory compliance and data privacy in credit contexts

Benefits:

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays