• Bachelor's degree in a quantitative field or equivalent practical experience.
• 4 years of experience in data analysis and working with querying languages (e.g., SQL).
• 2 years of experience applying machine learning on datasets and defining and improving operational processes.
• Master’s degree or PhD in a technical field.
• 7 years of work experience (e.g., statistician/data scientist), including expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, and/or sampling methods.
• 4 years of experience in quantitative disciplines, applied machine learning, and/or artificial intelligence (e.g., natural language processing) on datasets.
• Experience with abuse, spam, malware, and/or fraud detection and investigations in the internet industry.
• Experience operationalizing and/or developing systematic structure.
• Excellent attention to detail and analytic capacity.