Sr. Data Scientist
Core
Build and deploy machine learning models for security use-cases including threat/vulnerability detection, anomaly detection, and network optimization.
Role type
Senior IC machine learning engineer (security & networking)
Builds
Production ML models for threat detection and network security
Domain
Cybersecurity, Networking, Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Machine Learning algorithms, Deep Learning (CNNs, LSTM, Transformers), Data Engineering, Model Deployment (ONNX, GGUF), NLP, LLMs
Preferred skills
Go/Rust, Threat modeling, Distributed training (RAPIDS, Dask, Ray), Cloud platforms (AWS, GCP, Azure), MLOps (MLFlow, ClearML), DevOps (Docker, K8s, Terraform)
Technologies
TensorFlow, PyTorch, Pandas, Polars, NumPy, Matplotlib, Seaborn, ONNX, GGUF, RAPIDS, Dask, Ray, MLFlow, ClearML, Docker, K8s, Helm, Terraform
Responsibilities
Conduct exploratory data analysis (EDA) and data visualization; Ingest, clean, preprocess, and transform data; Build, train, and evaluate custom ML models for security; Collaborate on deploying models into production; Optimize training pipelines and inference; Work with cross-functional teams to translate business requirements into data insights
Seniority
Senior, hands-on IC
