Data Scientist II

Role Overview

Finicity, a Mastercard company, is leading the Open Banking Initiative to increase the Financial Health of consumers and businesses. The Data Science and Analytics team is looking for a Data Scientist II to work on Intelligent Decisioning, Financial Certainty, and more. The ideal candidate is a strong technical leader who is passionate about leveraging data to provide high-quality customer solutions and possesses an entrepreneurial mindset.

Responsibilities

• Manipulate large data sets and apply technical and statistical analytical techniques such as OLS, multinomial logistic regression, LDA, clustering, and segmentation.
• Apply Machine Learning (SVM, Random Forest, XGBoost, LightGBM, CATBoost) and Deep Learning (LSTM, RNN, Transformer) techniques and LLMs to solve analytical problems.
• Design and implement machine learning models for financial applications including Transaction Classification, Temporal Analysis, and Risk modeling.
• Measure, validate, implement, monitor, and improve performance of internal and external facing machine learning models.
• Propose creative solutions to existing challenges and present technical findings to business leaders and clients.
• Leverage best practices in Machine Learning and Data Engineering to develop scalable solutions.

Requirements

• 3-5 years in data science/ machine learning model development and deployments.
• Strong understanding of NLP, Statistical Modeling, Visualization, and advanced Data Science techniques.
• Ability to gain insights from text and use annotation thought processes in text analysis.
• SQL / Database experience is preferred.
• Experience with Kubernetes, Containers, Docker, REST APIs, or Event Streams.
• Familiarity with GenAI, LLMs, Agentic AI, TensorFlow, Python, Sklearn, and Pandas.
• Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, Mathematics, or Statistics.
• Exposure to financial transactional data, transaction classification, and credit risk modeling is a plus.

Skills

• Python
• Machine Learning
• SQL
• LLMs
• TensorFlow