Senior Data Scientist

December 3, 2024

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Trellix

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Trellix is a leading cybersecurity company that provides a comprehensive AI-powered security platform. It offers a wide range of products and services including endpoint security, data security, network security, threat intelligence, email security, and cloud security. With advanced threat detection and response capabilities, Trellix empowers security operations centers worldwide to efficiently manage and respond to cyber threats. The company is recognized by key industry analysts as a leader in extended detection and response (XDR) and network detection and response (NDR). Trellix also offers professional services, cybersecurity education, and manages detection and response (MDR) services, ensuring clients are well-protected and informed about the latest cybersecurity threats.

1001 - 5000 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $35M Venture Round on 2000-04

📋 Description

• We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. • You will contribute to the development of advanced Machine Learning (ML) solutions for cybersecurity challenges, including threat detection, malware analysis, and anomaly detection. • Your expertise will help drive end-to-end ML product development, from data preparation to deployment, while ensuring seamless integration into our core products. • You will work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development. • Your team's use cases include but are not limited to threatattack detection, threat hunting, malware detection and anomaly detection, and MLOps. • You will identify issues with models running in production and resolve them. This may require retraining models from scratch, adding new features to the model, set-up automated model training and deployment pipelines.

🎯 Requirements

• A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics • In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both • Passion for leveraging ML/AI to solve real-world business problems • 5+ years of industry experience in one or more machine/deep learning frameworks • 4-5 years of industry experience with Python/Pyspark and SQL • Experience solving multiple business problems using Machine Learning • Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow) • Should be able to drive end-to-end machine learning project with limited guidance • Solid computer science foundation • Good written and verbal communication • Ph.D in Cyber Security/Machine Learning or related field • 5+ years of industry experience in the field of Data Science/Machine learning • Prior experience in solving cyber security problems using machine learning • Familiarity with Security Domain will be a plus

🏖️ Benefits

• Retirement Plans • Medical, Dental and Vision Coverage • Paid Time Off • Paid Parental Leave • Support for Community Involvement