Data Scientist
Amsterdam, Netherlands
Shell
Shell is a global group of energy and petrochemical companies. Learn more about Shell on our global website.
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Job Description:
As a Cybersecurity Data Scientist, you will play a critical role in protecting our organization's digital assets by leveraging advanced data analysis and machine learning techniques. You will be responsible for identifying and analyzing cybersecurity threats, developing predictive models, and providing actionable insights to enhance our overall cybersecurity posture. Your work will contribute to the proactive detection, prevention, and response to emerging cyber threats.
Key Responsibilities:
Threat Detection and Analysis:
- Utilize data analysis techniques and tools to identify patterns, anomalies, and potential threats within complex cybersecurity datasets.
- Conduct in-depth analysis of security incidents and breaches to determine their impact and develop strategies for mitigation.
- Collaborate with security teams to understand their needs and design data-driven solutions to address emerging threats.
Predictive Modeling and Machine Learning:
- Develop and implement predictive models using machine learning algorithms to identify and prioritize potential cyber threats.
- Analyze large-scale security data sets to derive insights and build statistical models for anomaly detection, threat prediction, and risk assessment.
- Stay up to date with the latest advancements in data science and cybersecurity to incorporate cutting-edge techniques into the development of predictive models.
Data Visualization and Reporting:
- Create interactive and visually compelling dashboards, reports, and presentations to communicate complex cybersecurity findings to both technical and non-technical stakeholders.
- Translate technical data analysis into actionable insights, recommendations, and actionable plans for security teams and management.
- Develop and maintain a repository of visualizations and reports to support ongoing monitoring and analysis of cybersecurity threats.
Collaboration and Knowledge Sharing:
- Collaborate with cross-functional teams, including cybersecurity analysts, engineers, and IT professionals, to ensure the effective implementation and integration of data-driven security solutions.
- Share knowledge, best practices, and insights with team members to foster a culture of continuous learning and improvement.
- Contribute to the development and enhancement of data science tools, methodologies, and frameworks specifically tailored to the cybersecurity domain.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Relevant industry certifications are a plus.
- Strong knowledge of cybersecurity principles, concepts, and technologies.
- Proficiency in programming languages such as Python, R, or Java for data manipulation, statistical analysis, and machine learning.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Familiarity with big data processing frameworks like Hadoop, Spark, or Elasticsearch.
- Solid understanding of statistical analysis, machine learning algorithms, and data mining techniques.
- Experience working with cybersecurity datasets, network traffic analysis, and security event logs.
- Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Strong communication skills, both written and verbal, to effectively convey technical concepts to non-technical stakeholders.
- Ability to work collaboratively in a team environment and adapt to evolving cybersecurity challenges.
Join our team as a Cybersecurity Data Scientist and contribute to safeguarding our organization's digital assets from emerging cyber threats. Your expertise in data science and cybersecurity will play a crucial role in fortifying our security infrastructure and maintaining a secure operating environment.
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DISCLAIMER:
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data analysis Data Mining Data visualization Elasticsearch Hadoop Java Machine Learning Matplotlib Power BI Predictive modeling Python R Security Spark Statistics Tableau
Perks/benefits: Career development Startup environment
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