Senior Data Scientist
Core
Lead the development of cutting-edge machine learning models to detect malicious behavior, surface anomalies, and enhance security posture across the software supply chain platform.
Role type
Senior IC machine-learning engineer (security/anomaly detection)
Builds
Production ML models for fraud detection, anomaly detection, and behavioral analysis
Domain
Cybersecurity / Software Supply Chain Security
Deliverable
production ML models
Required skills
Generative modeling, deep learning architectures, anomaly detection, Python, TensorFlow, PyTorch, Scikit-learn, statistical modeling, cross-validation, Jupyter/Databricks notebooks
Preferred skills
Fraud detection systems, behavioral analytics in cybersecurity, Databricks, AWS (S3, EMR, SageMaker), MLflow, HuggingFace Transformers, LangChain, PySpark, Java/Scala collaboration, Git
Technologies
TensorFlow, PyTorch, Scikit-learn, Databricks, AWS SageMaker, HuggingFace, LangChain, PySpark, Jupyter, MLflow
Responsibilities
Own end-to-end development of ML models from research to deployment; Design and implement experiments to evaluate model performance; Partner with data engineers to build scalable pipelines; Conduct exploratory data analysis and statistical modeling; Present findings to stakeholders; Mentor junior team members
Seniority
Senior, hands-on IC
