Senior Machine Learning Scientist - Credit Card Transaction Data

Senior Machine Learning Scientist – Merchant & Transaction

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.

Our client, a leading data driven financial technology company is seeking a Senior Machine Learning Scientist to join its advanced Data Science organization. We are looking for a highly skilled ML expert with deep experience in multiclass classification, credit/debit card transaction data, and end-to-end production machine learning systems . This role is ideal for someone who thrives on transforming messy, semi structured partner data into high quality structured data products at scale

REMOTE ROLE

Responsibilities

• Conduct R&D to propose, experiment with, and deploy new ML models, including LLM based approaches
• Build and optimize end-to-end production ML pipelines , from data ingestion through deployment, monitoring, and continuous improvement
• Develop metrics, evaluation frameworks, and quality measurement systems to ensure high accuracy model outputs
• Mine large scale consumer datasets, including credit and debit card transaction dat a to identify new ML opportunities and data product innovations
• Serve as an internal ML expert, supporting cross functional teams, clients, and stakeholders
• Communicate methodologies, findings, and results to technical and non-technical audiences

Requirements

• Extensive experience leading end-to-end production ML proj ects, including model development, deployment, monitoring, and optimization
• Strong expertise in multiclass classification , including model design, evaluation, and productionalization using modern ML like Transformer-based architectures , encoder models, for classification.
• Experience working with financial services data, especially credit card and debit card transaction data
• Deep knowledge of machine learning and statistical fundamentals, with the ability xhyhwjd to translate business problems into practical ML solutions
• Strong background in NLP (classification, entity extraction, entity resolution) and familiarity with models such as BERT, LLMs, and classical NLP techniques
• Solid software engineering and data engineering skills; expert in Python and SQL with experience writing production quality code
• Experience working with cloud data warehouses (e.g., Redshift, Snowflake) and data lakes
• Advanced degree in Statistics, Mathematics, Computer Science, Economics, or a related field, plus 5+ years of industry experience

Preferred Qualifications

• consumer spend analytics