Senior Data Scientist
Core
Building high-performance, reproducible machine learning systems for core business decisions including fraud detection, customer engagement, and finance.
Role type
Senior IC machine learning engineer (modeling & R&D)
Builds
Custom ML models, generative models, and real-time inference pipelines for business functions.
Domain
Telecommunications & Financial Services
Deliverable
production ML models
Required skills
Supervised/unsupervised learning, Boosting, Neural Networks, Bayesian methods, Clustering, Python (Pandas, Numpy, PyTorch/TensorFlow, Scikit-learn), SQL, MLOps (MLflow, ClearML), Statistical design and A/B testing
Preferred skills
None stated
Technologies
PyTorch, TensorFlow, Scikit-learn, MLflow, ClearML, Pandas, Numpy
Responsibilities
Design and develop custom machine learning models for production; Build models to predict bad actors in transaction flows; Develop and implement supervised and unsupervised models from scratch; Design generative models based on profile and transaction data; Deploy models into product in a real-time environment; Lead statistical design and analysis of A/B testing
Seniority
Senior, hands-on IC
