Work Flexibility: Hybrid Who we Want: Analytical problem solvers. People who go beyond just fixing to identify root causes, evaluate optimal solutions, and recommend comprehensive upgrades to prevent future issues. Goal-oriented: Keeping the customer and requirements squarely in focus, people who deliver safe and robust solutions. Collaborative partners. People who build and leverage cross-functional relationships to bring together ideas, information, use cases, and industry analyses to develop best practices. Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations. Job description We are seeking a highly skilled and motivated Cyber Security Data Scientist to join our team. As a Cyber Security Data Scientist, you will play a critical role in ensuring the security of our organization's digital assets and infrastructure. You will apply advanced data analytics and machine learning techniques to analyze and detect potential cyber threats, identify vulnerabilities, and develop proactive security measures. Your expertise will help shape our cyber security strategy and drive data-driven decision-making processes. What you will do: Develop and implement data analysis models and algorithms to detect, analyze, and predict cyber security threats and vulnerabilities. Design and develop machine learning models to identify patterns and anomalies in large-scale data sets related to cyber security. Collaborate with cross-functional teams, including security analysts, engineers, and data scientists, to identify data requirements and define metrics for evaluating security risks. Analyze and interpret complex data sets from various sources, such as network logs, security incident reports, and threat intelligence feeds. Conduct research and stay updated on the latest cyber security threats, attack vectors, and defense mechanisms. Develop and maintain statistical models and algorithms for anomaly detection, intrusion detection, and fraud detection. Collaborate with the software development team to integrate data science solutions into security systems and tools. Provide insights and recommendations to improve security posture and response capabilities based on data analysis findings. Develop and deliver reports, presentations, and visualizations to communicate key findings and recommendations to stakeholders and senior management. Participate in incident response activities, including forensic analysis, threat hunting, and incident investigations. Evaluate and test new security technologies and tools to enhance the organization's cyber security capabilities. Stay abreast of emerging trends and advancements in cyber security, data science, and machine learning. What you need: Bachelor's degree in Computer Science, Data Science, Cyber Security, or a related field. A Master's or Ph.D. degree is preferred. Minimum 4 years of relevant experience is required. Proven experience working as a Data Scientist, preferably in the field of cyber security. Strong understanding of cyber security principles, attack vectors, and defense mechanisms. Proficiency in data analytics, statistical analysis, and machine learning techniques. Experience with programming languages such as Python, R, or Java, and data science libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark) and distributed computing concepts. Knowledge of data visualization tools (e.g., Tableau, Power BI) to present complex data in a clear and concise manner. Solid understanding of network protocols, log analysis, and data mining techniques. Strong problem-solving skills and the ability to work independently as well as collaboratively in a team environment. Excellent communication skills with the ability to translate technical findings into actionable recommendations for non-technical stakeholders. Industry certifications such as Certified Information Systems Security Professional (CISSP), Certified Ethical Hacker (CEH), or Certified Data Scientist (CDS) are a plus. Strong ethics and a commitment to maintaining confidentiality and integrity in handling sensitive data. Travel Percentage: 20% Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.