Data Scientist, SW Eng
Core
Develop software and machine learning pipelines to acquire, clean, and analyze data for training models that enhance customer experience and provide competitive advantage in wealth management.
Role type
Senior IC data scientist (software engineering focus)
Builds
Custom data pipelines, ML prototypes, and production-ready algorithms for wealth management clients
Domain
Financial services / Machine Learning / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, distributed machine learning frameworks, statistical analysis, data pipeline development, algorithm tuning, feature selection, cloud infrastructure management
Preferred skills
Azure cloud infrastructure, finance sector experience, advanced distributed ML frameworks (Keras, TF)
Technologies
Python, numpy, pandas, sklearn, Linux, Keras, TensorFlow, Azure
Responsibilities
Develop software to acquire and combine data from disparate sources into training datasets; Build unit tests and data quality checks for algorithms; Propose and develop machine learning ensemble methods; Tune algorithms using hyper-parameters and select feature subsets; Run training and inference jobs on cloud infrastructure; Present findings to internal and external customers; Provide guidance to software development teams on prototyping for production
Seniority
Senior, hands-on IC