Senior Manager, Data Scientist - Bank Customer Protection Agentic Claims
$230k - $262k • McLean, VA • Full-time
Posted 1mo ago
About the job
The Bank Customer Protection Debit & Claims Data Science team builds machine learning models to help customers spend safely and recover from payment issues. Within the Agentic Claims area, we are developing solutions to reduce customer and contact center effort while accelerating issue resolution. This role is at the forefront of transforming claims management, blending leadership with hands-on innovation. You will lead cross-functional initiatives, influence stakeholders to adopt new techniques, and expand our solution set. While providing strategic oversight and leading a small team of data scientists, you will also be deeply involved in data exploration, model development, and owning the end-to-end solution deployment lifecycle. Furthermore, you will establish foundational datasets, tools, and evaluation protocols for broader Enterprise AI developments.
Responsibilities
- Partner with a cross-functional team of data scientists, software engineers, applied researchers, analysts, and product managers to deliver products.
- Leverage technologies like LLMs, LangChain, Python, Ray, Spark, and AWS to operationalize insights from large volumes of numeric and textual data.
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
- Lead individual contributors by removing ambiguity and shaping the roadmap for the claims space.
- Conduct data exploration and model development.
- Own the end-to-end lifecycle of solution deployment.
- Establish datasets, tools, and evaluation protocols for Enterprise AI developments.
Requirements
- Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 7 years of data analytics experience.
- Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) or an MBA with a quantitative concentration plus 5 years of data analytics experience.
- PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or related) plus 2 years of data analytics experience.
- At least 2 years of experience leveraging open-source programming languages for large-scale data analysis.
- At least 2 years of experience working with machine learning.
- At least 2 years of experience utilizing relational databases.
- At least 1 year of experience building agentic workflows.
- At least 1 year of experience managing people.
- At least 5 years of experience in Python for large-scale data analysis.
- At least 5 years of experience with machine learning.