Description
We are seeking a Sr. Data Scientist to design and deploy AI-powered tools and agent systems that combine LLMs and custom ML models into end-to-end solutions supporting business decision-making.
The ideal candidate will have experience building and deploying machine learning models to production, focusing on modular, scalable, and maintainable models.
Key Responsibilities:
- Design AI agent systems that automate analytical workflows, including data retrieval, impact analysis, and proactive recommendation generation.
- Decide how to combine LLMs, traditional ML models, and rule-based logic into reliable, end-to-end agent workflows, and build the orchestration layer that ties them together.
- Take agent prototypes from proof-of-concept through iteration to production-grade systems with proper documentation, testing, CI/CD, and deployment ownership.
- Build and maintain forecasting models and other predictive tools that feed into agent systems or support business decisions directly.
- Monitor and maintain recurring data processes, ensuring pipelines run on time and data quality stays high.
- Contribute to modernizing the data stack by migrating pipelines, expanding data coverage, and supporting cloud migration efforts.
- Work with teammates across regions, product, and engineering, translating model and agent outputs into clear recommendations for senior business stakeholders.
Requirements:
- 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree.
- Experience building and deploying machine learning models to production.
- Hands-on experience with LLMs or generative AI.
- Comfortable building data pipelines and working with large-scale data using tools like Spark, Airflow, SQL, or Python.
- Experience managing data science or ML projects from scoping through delivery.
- Able to communicate technical work clearly to non-technical audiences.
Preferred Qualifications:
- 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree.
- Experience building AI agents or multi-model orchestration systems.
- Experience with predictive modeling and time-series forecasting.
- Experience with productionalizing agentic applications.
- Hands-on experience with cloud platforms.
- Exposure to financial services or the payments industry is a plus.
- Experience working across geographies and time zones in a global organization.
Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.