Senior Data Scientist

Job Title:

Senior Data Scientist

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.

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