Data Scientist

The company is considered one of the leading cybersecurity companies in the world, specializing in privileged account security. It focuses on proactive defense against cyber threats and stopping attacks before they disrupt business operations and cause irreversible damage.

Its clientele includes top organizations worldwide, with approximately 50% of Fortune 100 companies among its customers.

The role is within the Innovation group, reporting to the CTO, and involves joining the early stages of introducing AI into the company's products. This position requires the ability to lead projects, gather data, write proof of concepts (POCs), and implement them in a production environment.

The work primarily revolves around Machine Learning, Deep Learning, and Python, utilizing a variety of data sources, including Bayesian networks and probabilistic models, deep learning for classification, time series analysis, embeddings, behavioral pattern detection, and anomaly detection.

The tech stack includes Python, Numpy, Pytorch, Tensorflow, Scikit-Learn, Pandas, XGBoost, and is hosted on infrastructure such as Pycharm, Jupyter, and AWS.

The company is located in the central region, close to a train station, and employs a flexible hybrid working model.

What you need to succeed:

• 5 years of hands-on data science experience in designing and implementing of ML models and algorithm development

• Track record of successfully taking AI/ML project inception to production

• A versatile, proactive, team player, can-do attitude, quick learner, and a great executor

• Experience in Python, Pandas, Scikit-learn / TensorFlow / PyTorch, SQL