Data Scientist

About the role

Join our Machine Learning team as a Data Scientist, where you will work on a variety of data-driven projects related to Security and Networking. Your responsibilities will include conducting exploratory data analysis, preparing and engineering data, building and evaluating machine learning models, deploying models into production, and collaborating with cross-functional teams. You will have the opportunity to make a significant impact on data-informed decision-making and drive innovation in the field of data science. Key missions: Contribuer à une large gamme de projets axés sur les données, de l'analyse exploratoire des données à la construction et au déploiement de modèles d'apprentissage automatique.. Effectuer une analyse exploratoire des données (EDA) pour comprendre les caractéristiques des données et identifier les modèles, et utiliser des techniques de visualisation des données pour communiquer efficacement les résultats.. Collaborer avec les équipes d'ingénierie pour déployer des modèles en production, en garantissant leur évolutivité et leur fiabilité. Profile: - Experience with data analysis and visualization tools (e.g., Pandas/Polars, NumPy, Matplotlib, Seaborn) - Excellent communication and collaboration skills - Strong problem-solving and analytical skills - Strong proficiency in Python programming language - 4-5 years of experience in data science or a related field - Experience with natural language processing (NLP) and large language models (LLMs) is a plus - Knowledge of machine learning algorithms and techniques - Master’s degree in computer science/engineering - Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) - Experience with Go/Rust programming language - Experience working with threat modeling and detection, anomaly detection or related fields is a bonus - Distributed training frameworks such as RAPIDS, Dask, Ray is preferable - Knowledge of cloud platforms (e.g., AWS, GCP, Azure) - Experience with data version control and MLOps frameworks such as MLFlow/ClearML - Familiarity with cloud-native DevOps such Docker, K8s, Helm, Terraform