Senior Data Scientist

Job Title:

Senior Data Scientist

About Trellix:

Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions.
We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.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:

  • 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.

  • Our team's use cases include but are not limited to threat detection, threat hunting, malware detection and anomaly detection, and MLOps. 

  • You will work  with other Senior Data Scientists in the team to execute data science projects. 

  • You will identify issues with models running in production and resolve them.

  •  This may require retraining models from scratch, adding new features to model, set-up automated model training and deployment pipelines.

  • These models will be integrated into popular products of the company to show maximum impact.

  About You:

  • 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 

  • 4-7 years of industry experience in one or more machine/deep learning frameworks

  • 4-7 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 MLFlow)

  • 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 will be an added advantage

  • 4-7 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

Company Benefits and Perks:

We believe that the best solutions are developed by teams who embrace each other's unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we 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 a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment 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.