Senior Security Data Scientist I

Job DescriptionRole Title: Senior Security Data Scientist IPosition Summary:Marriott Internationals Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriotts digital assets.Job Responsibilities:

• Analyze large datasets related to cybersecurity threats and incidents
• Develop machine learning models and algorithms to detect anomalies and potential security breaches
• Apply data science techniques to support incident response and investigation, automating the analysis of security incidents
• Use data mining techniques on structured and unstructured data sources to extract insights that help anticipate and counter cyber threats
• Implement and manage SDL tools (e.g., big data, ML/AI technologies)
• Create data visualizations and reports to communicate insights to stakeholders
• Collaborate with cybersecurity teams to implement data-driven security solutions
• Map detection mechanisms to security frameworks to enhance incident analysis and response
• Stay up to date with the latest cyber threats and data science techniques
• Continue to refine, maintain and document SDL MLOps processes and procedures.

Skill and Experience :

• 4+ years of data science, data analytics, data management, and/or information security experience that includes:
• 4+ years of experience in data science/data analytics in an enterprise environment
• 2+ years of experiencein information protection / information security.
• Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R)
• Expertise in machine learning algorithms and frameworks
• Experience with Application of AI techniques for threat detection and prediction
• Knowledge of cybersecurity principles, tools, and best practices
• Proficiency in data visualization tools like PowerBI
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (skills in handling and analyzing large-scale datasets)
• Programming languages: Python, R, SQL
• Machine learning frameworks: TensorFlow, PyTorch, scikit-learn
• Big data technologies: Hadoop, Spark, and Kafka
• Cloud platforms: AWS, Azure, GCP
• Data visualization tools: Tableau, PowerBI
• Relevant certifications such as data science certifications, CISSP, CEH.
• Security information and event management (SIEM) systems
• Verbal and written communication skillsto articulate complex technical concepts to both technical and non-technical stakeholders
• Experience working in Agile and Scrum methodologies.

Education and Certifications:

• Bachelors degree in computer science, software engineering, information technology, data science, or a related field or equivalent experience/certification.

Work location: Hyderabad, India.Work mode: Hybrid