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Threat Analytics Data Scientist Jobs in Washington

Decision Scientist - Staffing, Reporting And Data Analytics
By Starbucks At Seattle, WA, United States
Years of experience in specific field or utilizing designated skills: Minimum 1 years’ Experience
Education: BA/BS with preferred concentration discipline in Stats, Math, Comp Sci, Engineering, Econ, Psychology, Quantitative Social Science or similar
Skills: Ability to handle and maintain the confidentiality of highly sensitive information
Demonstrated experience with Microsoft Office, including PowerPoint
Working knowledge of statistics (descriptive, regression, etc.)
Business experience with several data visualization tools (e.g., Tableau, Power BI)
Data Scientist Ii, Product Analytics
By Expedia Group At Seattle, WA, United States
Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies
2+ years of experience in data mining, statistical modelling and business analysis
Bachelor’s or Master's in an analytical field (STEM); or equivalent related professional experience
Advanced degrees/qualifications in the above are a plus but not essential
Experience with data sciences tools such as SQL, R, Python, and Excel experience is required
Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Tableau, Power BI

Are you looking for an exciting opportunity to use your data science skills to help protect organizations from cyber threats? We are looking for a Threat Analytics Data Scientist to join our team and help us develop cutting-edge analytics solutions to detect and respond to cyber threats. You will have the opportunity to work with a wide range of data sources, develop innovative analytics models, and collaborate with a team of experts to ensure our clients are secure. If you are passionate about data science and cyber security, this is the job for you!

Overview Threat Analytics Data Scientist is a professional responsible for analyzing data to identify potential threats and vulnerabilities. They use data science techniques to develop models and algorithms to detect malicious activities, identify potential threats, and develop strategies to mitigate them. Detailed Job Description A Threat Analytics Data Scientist is responsible for analyzing data to identify potential threats and vulnerabilities. They use data science techniques to develop models and algorithms to detect malicious activities, identify potential threats, and develop strategies to mitigate them. They also work with other security professionals to develop strategies to protect the organization’s data and systems. Job Skills Required
• Knowledge of data science techniques and algorithms
• Knowledge of security principles and best practices
• Ability to analyze large datasets
• Ability to identify patterns and trends in data
• Ability to develop models and algorithms to detect malicious activities
• Ability to communicate effectively with stakeholders
• Ability to work independently and as part of a team
Job Qualifications
• Bachelor’s degree in computer science, information technology, or a related field
• Experience with data analysis and data science techniques
• Knowledge of security principles and best practices
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of machine learning algorithms
• Knowledge of cloud computing platforms
Job Knowledge
• Knowledge of data science techniques and algorithms
• Knowledge of security principles and best practices
• Knowledge of programming languages such as Python, R, and SQL
• Knowledge of machine learning algorithms
• Knowledge of cloud computing platforms
Job Experience
• Experience with data analysis and data science techniques
• Experience with security principles and best practices
• Experience with programming languages such as Python, R, and SQL
• Experience with machine learning algorithms
• Experience with cloud computing platforms
Job Responsibilities
• Analyze data to identify potential threats and vulnerabilities
• Develop models and algorithms to detect malicious activities
• Develop strategies to protect the organization’s data and systems
• Work with other security professionals to develop strategies to mitigate threats
• Monitor security systems and respond to security incidents
• Communicate effectively with stakeholders