Sr. Data Scientist
Core
Develop software and machine learning models to acquire, clean, and analyze data for financial services clients, focusing on supervised/unsupervised learning and time series analysis.
Role type
Senior IC Data Scientist (Machine Learning & Data Engineering)
Builds
Production-ready data pipelines, ML ensemble models, and data quality checks for financial clients
Domain
Financial Services / Machine Learning / Data Engineering
Deliverable
production ML models | data pipelines
Required skills
Python, distributed machine learning frameworks (Keras, TensorFlow), statistical analysis, data pipeline development, hyperparameter tuning, feature selection, cloud infrastructure management, bias/leakage detection
Preferred skills
Finance sector experience, advanced distributed ML frameworks, Azure cloud infrastructure
Technologies
Python, numpy, pandas, sklearn, Keras, TensorFlow, Linux, Azure
Responsibilities
Develop software to acquire and combine data from disparate sources; build unit tests and data quality checks; tune ML algorithms and select feature subsets; run large-scale training and inference jobs on cloud infrastructure; present findings to internal and external customers; guide software development teams on Data Science Lab prototypes
Seniority
Senior, hands-on IC with some project leadership
