Role Overview:

About the Role: We seek a talented Data Scientist to join our Email Security team and help build cutting-edge solutions to detect and mitigate email-borne threats such as phishing, vishing, business email compromise (BEC), malicious attachments, etc. This role will be instrumental in developing data-driven models that enhance our ability to detect sophisticated attacks, improve automation, and proactively safeguard our customers.

About the Role:

- Design, develop, and implement data-driven models to detect and prevent email-based security threats.
- Analyze large datasets of email communications to identify patterns, anomalies, and emerging threats.
- Leverage behavioral pattern detection techniques to identify suspicious email activities and attack vectors.
- Collaborate with security researchers, engineers, and threat intelligence teams to improve detection capabilities and reduce false positives.
- Monitor, evaluate, and refine models to maintain high detection efficacy and adapt to evolving threats.
- Develop and optimize feature extraction techniques tailored to identifying malicious emails, attachments, and URLs.
- Work closely with software engineering teams to integrate data models into production systems.
- Participate in cross-functional meetings, providing insights based on data analysis findings and contributing to proactive defense strategies.
- Maintain and enhance data pipelines for training, deploying, and monitoring analytical models.
- Stay current with advancements in data science, artificial intelligence, and cybersecurity to continuously improve detection methodologies.





About You:

- Total 10+year's experience in software development with 5+ years of solid programming skills in Python, with experience in data science libraries such as TensorFlow, PyTorch, or Scikit-learn.
- 5+ years of experience working with large-scale datasets and data processing frameworks (e.g., Spark, Hadoop, or SQL-based databases).
- 3+ years of experience developing and deploying AI-driven models, with expertise in anomaly detection, NLP, and behavioral analysis.
- Familiarity with reinforcement learning or adversarial data science techniques applied to cybersecurity.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools for model deployment and monitoring.
- Strong analytical and problem-solving skills, with the ability to translate security challenges into data science solutions.
- Excellent communication skills, with the ability to work collaboratively in cross-functional teams.
- Bachelors or Masters degree in Computer Science, Data Science, Cybersecurity, or a related field.

Preferred Qualifications:

- Experience in cybersecurity or working with threat intelligence teams.
- Knowledge of advanced NLP techniques for analyzing email content and metadata.
- Understanding of email security threats, including phishing, BEC, and malware distribution tactics.
- Familiarity with email protocols (SMTP, IMAP, MIME) and cybersecurity frameworks.
- Contributions to open-source cybersecurity or data science projects.
- Excellent inter-personal and teamwork skills
- Above all, the right passion and attitude to solve new challenges

📌 Senior Data Scientist (Bengaluru)
🏢 Trellix
📍 Bengaluru