Principal Data Scientist & ML Engineer, Applied AI

The Depository Trust & Clearing Corporation (DTCC); Jersey City (NJ); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive compensation

Comprehensive health and life insurance

Flexible/hybrid work model

Job summary

The Depository Trust & Clearing Corporation (DTCC) seeks a Principal Data Scientist / Machine Learning Engineer in Jersey City, NJ. This role is integral to the Technology Research and Innovation team, focusing on developing scalable, production-ready solutions in data science and AI.

Responsibilities include championing Python for data engineering, architecting data pipelines, and leading machine learning initiatives. Candidates should have 8+ years of experience, preferably in financial services, and strong expertise in Python and data governance.

Qualifications

• Minimum 8 years of related experience.
• Bachelor's degree (preferred) or equivalent experience.

Responsibilities

• Champion Python-Centric Data Engineering.
• Architect Data Pipeline Solutions.
• Strategic Cross-Functional Collaboration.
• Lead Advanced Machine Learning Initiatives.
• Demonstrate accountability in solution ideation and execution.
• Provide guidance and technical leadership to junior engineers.
• Integrate risk and control processes into engineering activities.

Skills

Data engineering

Machine learning model development

Python programming

Leadership

Collaboration

Data governance

Education

Bachelor's degree or equivalent experience

Tools

Python

Snowflake

Data visualization tools

Job description

The Depository Trust & Clearing Corporation (DTCC) seeks a Principal Data Scientist / Machine Learning Engineer in Jersey City, NJ. This role is integral to the Technology Research and Innovation team, focusing on developing scalable, production-ready solutions in data science and AI.

Responsibilities include championing Python for data engineering, architecting data pipelines, and leading machine learning initiatives. Candidates should have 8+ years of experience, preferably in financial services, and strong expertise in Python and data governance.