Senior Data Scientist
At a glance
Senior Data Science role at vantagescore. Washington D.C. · full-time · $120,000–$150,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Research structured and unstructured data, then turn findings into input for product decisions and new offerings
- Help build, test and launch credit-risk and predictive machine-learning models
- Adapt and fine-tune GenAI and language models, with attention to explainability and compliance
- Analyze lender and fintech pilots through back-testing, rejection inference and performance reviews
- Maintain model monitoring, create dashboards and work with engineers to run models in production
What you bring
- A master’s or PhD in a quantitative discipline such as data science, statistics or computer science
- Three to five years of professional work in advanced analytics, AI/ML or data science
- Python proficiency and hands-on use of classification, clustering, regression or neural networks for credit-risk prediction
- Research experience that includes analysis and clear presentations or publications
Who this fits
This senior role suits someone with credit-modeling experience who can explain technical findings to both technical and non-technical audiences. The position is hybrid, with Washington, D.C. preferred or New York, NY.
From the employer
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 shared internally and externally.
Basic Qualifications
• Master’s or PhD degree in a quantitative field (e.g., Data Science, Applied Mathematics/Statistics, Computer Science, Engineering, Econometrics).
• 3-5 years of professional experience in advanced analytics, AI/ML/LLM, and data science in research and/or corporate environments.
• Proficiency in Python for data science and machine learning workflows.
• Proven experience with machine learning techniques (classification, clustering, regression, neural networks) for predictive risk and credit modeling.
• Strong track record of conducting research, developing analyses, and producing clear and impactful presentations or publications.
• Experience delivering insights and solutions that drive business impact.
• Experience working in Agile and cross-functional teams.
Preferred Skills & Experience
• Deep expertise in GenAI - Natural Language Processing (NLP) and Large Language Models (LLMs) - including training, fine-tuning, explainability, and deployment.
• Deep expertise in advanced ML techniques (self-supervised learning, training optimization, explainability) with focus on credit scoring.
• Proficiency with modern ML/AI technology stack, such as PyTorch, AWS and related tools.
• Experience delivering innovative, scalable AI/ML solutions integrated into production platforms.
• High-level analytical problem-solving ability, with creativity in defining and solving ambiguous problems.
• Exceptional communication skills, able to convey technical concepts to diverse stakeholders.
• Self-motivated with a collaborative mindset and leadership presence — capable of challenging the status quo and championing innovation.
Compensation
• Salary Range: 120K-150K/year, plus a discretionary bonus
• Generous Benefits: 401(K) matched up to 7%, Flexible Time Off, 12 Paid Holidays, Medical/Dental/Vision/Wellness benefits, Monthly Team Events, Modern Work/Collaboration Spaces
Join Us and Be the Catalyst of Change in Fintech! Are you a Senior Data Scientist who thrives on innovation and has a deep passion for fintech? We invite you to take the leap and join our team. Together, let's embark on a mission to redefine the industry and propel your career to new heights at VantageScore!
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