Job Title:
Senior Data Scientist
About Trellix:
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 https://trellix.com.
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:
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As a Senior Data Scientist, 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, from feature engineering to model building and evaluation.
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Our team's use cases include but are not limited to threatattack detection, threat hunting, malware detection and anomaly detection, and MLOps.
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You will work with other Senior Data Scientists in the team to execute data science projects.
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You will identify issues with models running in production and resolve them.
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This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines.
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These models will be integrated into popular products of the company to show maximum impact.
About You:
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A Master Degree or Equivalent degree in Machine Learning, Computer Science, or Electrical Engineering, Mathematics, Statistics
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In-Depth understanding of all major Machine Learning and Deep learning algorithms, supervised and unsupervised both
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Passion for leveraging ML/AI to solve real-world business problems
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5+ years of industry experience in one or more machine/deep learning frameworks
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4-5 years of industry experience with Python/Pyspark and SQL
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Experience solving multiple business problems using Machine Learning
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Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow)
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Should be able to drive end-to-end machine learning project with limited guidance
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Solid computer science foundation
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Good written and verbal communication
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Ph.D in Cyber Security/Machine Learning or related field
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5+ years of industry experience in the field of Data Science/Machine learning
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Prior experience in solving cyber security problems using machine learning
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Familiarity with Security Domain will be 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.
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