Senior Data Scientist

Build and manage predictive models for payment-related use cases such as method recommendations, downtime management, and processor selection to increase transaction success and reduce failures.

Leverage advanced Large Language Models (LLMs) and generative AI to develop next-gen payment experiences with end-to-end ownership from development through deployment and optimization.

Collaborate with engineering, compliance, and operations teams to translate data science insights into practical payment solutions and product improvements.

5+ years of experience in data science or related roles with individual contributor responsibility.

Expert proficiency in Python, Spark, SQL (Presto/Hive), and fundamental ML techniques including bagging, boosting, online learning, and recommendation engines.

Hands-on experience with generative AI frameworks and LLM orchestration, specifically agentic frameworks like LangGraph, LangSmith, or LangChain.

Expertise in MLOps and productionizing ML solutions using tools like MLflow, Kubeflow, TFX, or SageMaker; experience deploying scalable components on cloud platforms.

Strong focus on end-to-end data science project ownership from concept to production in payment/FinTech environments.

Experience working with real-time machine learning implementations and streaming data technologies is a plus.

Comfortable operating independently within flat team structures, capable of managing multiple complex AI and predictive modeling tasks aligned with business goals.