Senior Risk AI Scientist — NLP, Graph & Gen AI (Onsite)

DataJobs; McLean (VA); Presencial; USD 123.000 - 155.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Performance incentives

Comprehensive benefits

Descripción de la vacante

DataJobs in McLean, VA is seeking a data scientist on the Beyond AML Modeling & Innovations (BAMI) team to apply AI/ML to risk solutions. You will work onsite in McLean, VA, collaborating with data scientists, engineers, and product managers to deliver production-ready models using NLP, graph-based modeling, and Generative AI.

The role emphasizes end-to-end ML development—from design to validation and deployment—with a strong focus on translating analytic insights into business outcomes and

Formación

• Bachelor’s degree in a quantitative field plus 2 years of analytics experience, or nearing degree completion.
• Master’s or MBA with quantitative focus, or in process of obtaining one of these by start date.

Responsabilidades

• Collaborate with data scientists, engineers, and product managers to deliver customer-focused data science solutions.
• Apply a broad technology stack including Python, Conda, AWS, H2O, and Spark to extract signals from large-scale datasets.
• Develop machine learning models across the full lifecycle—from design and training to evaluation, validation, and implementation.
• Translate model and analytics complexity into clear, business-oriented goals.

Conocimientos

Python

Scala

R

SQL

Machine learning

Deep learning

NLP

Generative AI

Graph-based modeling

Time series

AWS

Spark

Conda

Sentiment analysis

Educación

Bachelor's degree in a quantitative field

Master's degree in a quantitative field or MBA with quantitative concentration

Herramientas

AWS

H2O

Spark

Conda

Descripción del empleo

DataJobs in McLean, VA is seeking a data scientist on the Beyond AML Modeling & Innovations (BAMI) team to apply AI/ML to risk solutions. You will work onsite in McLean, VA, collaborating with data scientists, engineers, and product managers to deliver production-ready models using NLP, graph-based modeling, and Generative AI.

The role emphasizes end-to-end ML development—from design to validation and deployment—with a strong focus on translating analytic insights into business outcomes and