Data Scientist

Your key tasks

• Data Collection: Identify and gather relevant data from multiple internal and external sources, including logs, databases, APIs, and third-party security tools (e.g., Splunk, Tenable and others).
• Data Integration: Clean, process, and integrate data from disparate sources to ensure accuracy and consistency.
• Analysis and Interpretation: Perform exploratory data analysis to uncover patterns, trends, and anomalies in security data.
• Automation: Develop automated processes for data extraction, transformation, and loading (ETL) to improve efficiency and reduce manual effort.
• Dashboard and Report Creation: Design, build, and maintain interactive dashboards and reports using tools such as Apache Superset, Grafana, or similar platforms.
• Stakeholders Interaction: Collaborate with internal stakeholders to understand their security reporting needs and customize solutions to meet their requirements.
• Security Insights: Generate actionable insights and recommendations to improve clients' security measures based on data analysis.
• Collaboration: Work closely with engineers, architects, digital intelligence, and other stakeholders to ensure alignment and accuracy in reporting.
• Documentation: Maintain clear and comprehensive documentation of data sources, methodologies, and processes.

Requirements

• Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Information Security, or a related field.
• Experience: 5+ years of experience in data science, data analysis, or a related role, preferably within the security industry.
• Technical Skills:
  • Proficiency in programming languages such as Python, Go, or SQL.
  • Experience with data visualization tools like Apache Superset, Angular, PowerBI or similar.
  • Familiarity with data processing frameworks and ETL tools.
• Security Knowledge: Understanding of cybersecurity principles, threat intelligence, and security incident response.
• Cloud Experience: Experience with cloud platforms (AWS, Azure, OCI) and their security features.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data sets.
• Advanced Analytics: Knowledge of machine learning and advanced analytics techniques.
• Communication Skills: Excellent written and verbal communication skills, with the ability to present findings to both technical and non-technical audiences.

It would be a real bonus if you have

• Certifications: Relevant certifications such as CISSP, CEH, or GIAC are a plus.
• Industry Knowledge: Experience in the financial or fintech industries.