We are seeking a highly skilled Staff Data Scientist to join our team and contribute to the design, development, and deployment of a scalable data platform that empowers users to create advanced analytics, machine learning, and GenAI solutions to enhance our security defences.
Key Responsibilities:
* Technical Leadership: Lead the design, development, and delivery of cyber data platform solutions and provide technical guidance and mentorship across all teams of cyber data platform.
* Designing Real-Time Systems: Design, build, and manage real-time, near real-time, and batch data architectures that support threat detection, incident response, and reporting through advanced analytics, machine learning, and GenAI capabilities.
* Collaborative Problem-Solving: Work collaboratively with cross-functional teams to identify and prioritize opportunities for improving our data platform.
Requirements:
* Proven experience in leading teams to deliver resilient systems and providing technical guidance for optimal product solutions.
* Experience building data platforms on cloud services like Databricks on Azure or GCP BigQuery, with the goal of delivering a self-service data platform for users.
* Proficient in Python and SQL, with a solid grasp of architectural patterns, coding standards, code reviews, version control, and CI/CD practices.
* Expertise in ETL and ELT frameworks for large-scale real-time and batch data processing, with hands-on experience in Kafka, Flink, Airflow, and dbt as well as containerization technologies like Docker and Kubernetes.