Job Description

Role Title: Senior Security Data Scientist I Position 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

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