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Senior Data Scientist
1 month ago
Trellix is a global company redefining the future of cybersecurity and soulful work. The company’s comprehensive, open and native cybersecurity platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix, along with an extensive partner ecosystem, accelerates technology innovation through artificial intelligence, automation, and analytics to empower over 50,000 business and government customers with responsibly architected security. More at . Job Title: Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist to join our innovative Data Science team. Reporting to the Data Science Director, 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. What You Will Do: Work in a team of smart data scientists reporting to the Data Science Director that does full-lifecycle full-stack Machine Learning product development, from feature engineering to model building and evaluation. Execute data science projects, including threat detection, threat hunting, malware detection, anomaly detection, and MLOps. Identify issues with models running in production and resolve them. Retrain models from scratch, add new features to models, and set up automated model training and deployment pipelines. Integrate models into popular products of the company to show maximum impact. About You: A Master's Degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Mathematics, or Statistics. In-depth understanding of all major Machine Learning and Deep Learning algorithms, both supervised and unsupervised. 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 (e.g., AWS, Google, Azure) and ML automation platforms (e.g., Kubeflow). Ability to drive end-to-end machine learning projects with limited guidance. Solid computer science foundation. Good written and verbal communication skills. Ph.D. in Cyber Security/Machine Learning or related field. 5+ years of industry experience in Data Science/Machine Learning. Prior experience in solving cybersecurity problems using machine learning. Familiarity with the Security Domain is a plus. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours, and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental, and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement We're serious about our commitment to diversity, which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation, or any other legally protected status. #J-18808-Ljbffr
