Trellix - Senior Data Scientist

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

- Total 607 years of experience with 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