Senior Data Scientist

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.

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