Data Engineering Analyst Lead/Scientist

TL;DR

Data Engineering Analyst Lead/Scientist: Transforming raw trade and transaction-level data into high-value consumer features that guide decisions across the credit lifecycle with an accent on engineering and validating consumer-level attributes. Focus on applying statistical techniques, building dashboards, and collaborating with various teams to maximize impact.

Location: Remote (United States)

Salary: $115,747 - $208,344

Company

hirify.global is a global data and technology company, powering opportunities for people and businesses around the world.

What you will do

• 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.
• 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.
• Strong 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.

Nice to have

• 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.

Culture & Benefits

• Focus on DEI, work/life balance, and employee development.
• Award-winning workplace culture recognized globally.
• Opportunities for volunteering and community engagement.