Senior Data Scientist

🏢 Vantagescore · 📍 Washington D.C. / New York · 💼 hybrid

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Position Summary & Responsibilities

Senior AI Engineer

Hybrid - Washington D.C. (preferred) or New York, NY

About The Role

We are seeking a highly motivated and innovative Senior Data Scientist (AI/ML) to join our brilliant team of analytics professionals and developers, supporting the cutting-edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions.

In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You’ll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights.

You’ll partner cross-functionally to deliver scalable AI-powered products and solutions that redefine how consumers engage with credit — ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion.

Key Responsibilities
• Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development.
• Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models.
• Serve as the team’s expert on GenAI/LLMs, adapting and fine-tuning models and ensuring explainability and compliance.
• Drive pilot program analyses, including back-testing, rejection inference, and performance analyses using diverse data sets.
• Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders.
• Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes.
• Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state-of-the-art methods, tools, and best practices.
• Translate complex analyses into clear, actionable business recommendations for both technical and non-technical audiences.
• Contribute to thought leadership through white papers, presentations, and insights sha

🎯 Candidate Preparation Guide For Vantagescore Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Tests strict adherence to financial regulatory compliance, advanced credit-scoring analytics, and B2B fintech partnership acumen.

📋 Preparation Priorities (Key Areas to Clarify):

1. Making careless statements about regulatory compliance or fair lending laws.
2. Failing to distinguish between traditional FICO models and modern VantageScore innovations.
3. Treating financial data products like standard SaaS without risk context.

✨ Recommended Role Alignment Hook:

I scale credit analytics solutions by treating regulatory compliance not as a constraint, but as our strongest trust moat.

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