Description

Lead data migration and transformation for financial systems, building scalable Python pipelines and applying machine learning to ensure data accuracy.

This role is hybrid.

Responsibilities

• Develop and prototype data science solutions using Generative AI, NLP, and Machine Learning.
• Build and maintain scalable data pipelines for extraction, transformation, and validation using Python and Spark.
• Execute data migration scripts and perform rigorous reconciliation and testing to ensure system transition integrity.
• Apply statistical modeling and ML methods for data analysis, classification, and prediction tasks.
• Create visualizations and dashboards to communicate analytical insights to cross-functional teams.

Required Skills

• 3+ years of experience in a Data Science role.
• Strong hands-on proficiency with Python for data processing, modeling, and scripting.
• Experience with Generative AI, including model fine-tuning, deployment, and evaluation.
• Proficiency in SQL and database management.
• Experience with Apache Spark or other distributed computing platforms.
• Knowledge of Machine Learning, Statistical Modeling, and Data Visualization.
• Familiarity with ETL processes and data validation/reconciliation.

Preferred Skills

• Experience with Deep Learning frameworks (TensorFlow, Keras, PyTorch).
• Familiarity with Natural Language Processing (NLP).

Key Skills

Education

Not specified