Experian
10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
Data Engineering Lead/Scientist
🕒 April 21
🇺🇸 United States – Remote
💵 $115.7k - $208.3k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
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Experian
10,000+ employees
Founded 1996
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Artificial Intelligence • B2B • SaaS
Experian is a global leader in digital experience, technology, and transformation. They partner with recognized brands to enhance customer understanding, innovate product strategies, and implement agile technology solutions. With a focus on delivering superior customer experiences through AI, cloud architecture, and project management, Experian helps businesses streamline their operations and achieve their objectives effectively.
📋 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 full medical, dental, vision, and matching 401K • Flexible schedule, ability to work remotely, hybrid, or in-office • Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays
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