Not specified; not specified; generous benefits: 4...
Hybrid
Master's or phd in quantitative field
5+ years data science or ai experience
Python programming and ml libraries
VantageScore is seeking a Senior AI Engineer to support the development of innovative credit scoring models and insights by leveraging advanced technology in a hybrid work environment based in Washington D.C. or New York. The ideal candidate will have extensive experience in AI, machine learning, and data science, particularly with Generative AI and large language models, to contribute to scalable AI-powered solutions
Job Summary
The role involves conducting advanced research on structured and unstructured data to support product management and new product development.
You will serve as the team's expert on GenAI and Large Language Models, ensuring explainability and compliance while adapting models.
The company offers generous benefits including a 401(K) match up to 7%, flexible time off, and 12 paid holidays.
Matching Summary
Match Score: 85
VantageScore is seeking a Senior AI Engineer to support the development of innovative credit scoring models and insights by leveraging advanced technology in a hybrid work environment based in Washington D.C. or New York. The ideal candidate will have extensive experience in AI, machine learning, and data science, particularly with Generative AI and large language models, to contribute to scalable AI-powered solutions.
Salary
Not specified; Not specified; Generous Benefits: 401(K) matched up to 7%, Flexible Time Off, 12 Paid Holidays, Medical/Dental/Vision/Wellness benefits
Skills & Requirements
Must-have
Master's or PhD in quantitative field
5+ years data science or AI experience
Python programming and ML libraries
GenAI LLM fine-tuning and evaluation
Credit risk and predictive model deployment
Nice-to-have
Experience in credit risk modeling
Fairness and bias mitigation expertise
Explainability techniques like SHAP or LIME
Published research or white papers
Thought leadership contributions
Key Requirements
Master's or PhD in Data Science, Statistics, Computer Science, Engineering, or Econometrics
5+ years of experience in data science, machine learning, or AI/ML
Strong problem-solving skills with ability to navigate ambiguity