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VantageScore® · 8 hours ago

Senior Data Scientist

DC-Baltimore Area

Full-time

Hybrid

Senior Level

$140K/yr - $150K/yr

5+ years exp

VantageScore is a leading credit modeling company focused on delivering innovative and inclusive credit scoring solutions. They are seeking a highly motivated Senior Data Scientist (AI/ML) to contribute to the development of credit scoring models and insights, while advancing their use of data to empower responsible lending.

CreditSoftware

H1B Sponsor Likely

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

Qualification

AI/MLGenAI/LLMsPythonMachine Learning TechniquesData ScienceNLPPyTorchAgileAnalytical Problem-SolvingCommunication SkillsCollaboration

Required

Master's or PhD degree in a quantitative field (e.g., Data Science, Applied Mathematics/Statistics, Computer Science, Engineering, Econometrics)

A minimum of 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

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

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

Company

VantageScore®

VantageScore empowers financial institutions to make smarter lending decisions.

Founded in 2006

Stamford, Connecticut, USA

51-200 employees

https://www.vantagescore.com/

H1B Sponsorship

VantageScore® has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (2)

2022 (1)