Security Data Scientist

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International's Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott's digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks. Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents. Implement existing machine learning models and algorithms to detect anomalies and potential security breaches. Support 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. Stay up to date with the latest cyber threats and data science techniques. Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment. 1+ years of experience in information protection/information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R). Experience with machine learning algorithms and frameworks as well as AI techniques. Knowledge of cybersecurity principles, tools, and best practices. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Understanding of data visualization tools like Power BI. Preferred: 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, Power BI. Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills. Education and Certifications: Bachelor's degree in computer/data science, information management, Cybersecurity, or related field or equivalent experience/certification. Work location: Hyderabad, India. Work mode: Hybrid.,