We are looking for an experienced security-focused Data Scientist to enhance the output of the Global IT Security Team, assisting with the growing data needs across the team. The candidate will be located in Mumbai and will be the lead for data mining and analytics, interpreting data visualization, and facilitating the reporting of large integrated data sets built with structured and unstructured data, and the development of automation and tools to leverage proprietary data sources.
Requirements
- Proven experience in delivering data science based projects in an IT security environment.
- Synthetic thinking skills with the ability to connect the dots between data sets and business relevant insights that can be delivered to a range of stakeholders.
- Experience with data science and statistical analysis in R or Python.
- Strong data management skills including SQL.
- Experience in working of Elastic agents like Logstash, beats family agents along with Elastic Query Language, filters, & query DSL (Domain Specific Language).
- Hands-on experience working with 3rd party security vendors.
- Demonstrable, inquisitive nature with the ability to pursue lines of inquiry independently.
- Excellent written and verbal communication skills for coordinating across teams.
- Prior experience working in the financial sector or in a multinational company, across various time zones.
- Awareness of malware, hacking tools and advanced threat actor tactics, tools and techniques a large advantage.
- Understanding of and experience with modern technical security controls and technologies, such as TIP’s, SOAR’s firewalls, SIEMs, IPS, HIPS, web proxies, etc.
- Knowledge of cyber threat intelligence models (e.g., MITRE ATT&CK, Kill Chain, Diamond Model).
- Hands on experience with Ansible, Ansible roles, Ansible Tower.
- Hands on experience with Git repositories (GitLab).
- Minimum 2+ year of Hands on experience with Elasticsearch, Logstash, Kibana.
- ServiceNow experience of handling tickets, change, service requests.
- 5+ years of experience working in a professional data science position (preferably in security).
- Experience with a wide variety of major data science / statistical analytics tools and programming languages (for example experience in one or some of the following: Python, SPSS Modeler, SAS, R, Scala, Spark).
- Working Experience of visual analytical tools such as Tableau / Power BI / Kibana.
- Understanding of data structures, data modeling and Elastic ELK architecture, Data pipeline, Grok patterns, Index Lifecycle management.
Benefits
- Collaborative and dynamic work environment
- Opportunities for career growth and development
- Competitive salary and benefits package
- Flexible working hours and remote work options
- Access to cutting-edge technology and tools
- Professional training and development programs
- Employee recognition and reward programs
- Wellness and employee assistance programs
- Generous paid time off and holidays