Data Scientist

Job Description Must Have Technical/Functional Skills

• Experience is developing Risk models using Supervised ML techniques.
• Exposure to Model performance metrics.
• Model Development experience in Python/PySpark is preferred.
• An experienced Data Scientist to lead end-to-end AI/ML solution design and implementation across a range of business domains in financial services.

• Lead data science teams through complete project life cycles – from ideation to production.
• Define standards, best practices, and governance for AI/ML solutioning and model management.
• Collaborate with data engineering, MLOps, product, and business teams.
• Oversee integration of data science models into production systems.
• Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
• Guide feature engineering, data strategy, and feature store design.
• Promote innovation with generative AI, reinforcement learning, and graph-based learning.
• Knowledge of Spark, PySpark, Scala.
• Experience leading CoEs or data science accelerators.
• Experience is developing Risk models using Supervised ML techniques.
• Exposure to Model performance metrics.
• Model Development experience in Python/PySpark is preferred.

• BACHELOR OF COMPUTER SCIENCE

$135,000 to $150,000 per year