Remote Senior Data Scientist, Ad Tech Fraud Detection & Prevention with AI/ML Focus and Privacy Expertise

Summary

Join our team as a Senior Data Scientist - Ad Tech Fraud Detection & Prevention with AI/ML Focus and Privacy Expertise. Collaborate closely with data scientists, engineers, product managers, and marketers to analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics.

Requirements

• BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields
• 4+ years of professional experience in data science, solving complex problems with a focus on AI/ML techniques and privacy expertise
• Experience in implementing AI/ML algorithms, including deep learning and reinforcement learning models, while ensuring compliance with privacy and data protection laws
• Ability to work independently and solve complex problems with minimal supervision
• Strong critical thinking and ability to generate intuitive conclusions from complex datasets
• Excellent verbal and written communication skills, with a high attention to detail
• Proficiency in SQL and Python (experience with R is a plus)
• Solid understanding of machine learning algorithms, basic probability, and statistics
• Familiarity with AI/ML tools and frameworks (e.g., OpenAI, ChatGPT, TensorFlow, PyTorch, Keras)
• Familiarity with online advertising, advertising fraud, and global privacy and data protection laws, with a focus on European privacy and data protection laws and regulations

Responsibilities

• Serve as a subject matter expert on privacy and data protection
• Leverage advanced machine learning techniques to improve fraud detection and prevention models
• Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends
• Provide technical support for existing products by resolving complex client issues through coordinated tickets and data analysis
• Identify new types of fraud and develop early detection/prevention algorithms using AI/ML techniques
• Create visualizations, document methodologies, and effectively communicate research insights to product management and marketing teams
• Automate report generation for recurring requests using scripts
• Develop and test statistical hypotheses to support data-driven decision-making
• Collaborate with data scientists, analysts, product managers, and engineers to apply quantitative data analysis expertise and create AI/ML-driven innovative solutions
• Stay up-to-date with the latest advancements in AI/ML, privacy regulations, and industry trends to inform data science strategy and approach
• Mentor and guide junior data scientists and engineers, sharing knowledge and fostering a culture of learning and growth

Preferred Qualifications

• Preferred MS or PhD degree in Computer Science, Electrical Engineering, Math, Statistics, or other quantitative fields with a focus on AI/ML and privacy expertise
• Preferred Familiarity with Amazon AWS, UNIX CLI, and programming in Scala, Java, and/or C/C++ (a plus)
• Preferred Experience providing thought leadership in privacy and data protection, particularly in the context of the European regulatory landscape and beyond
• Preferred Proven track record of integrating privacy-by-design principles into data science projects and products
• Preferred Knowledge of de-identification, anonymization, and pseudonymization techniques for data processing and analysis
• Preferred Familiarity with privacy-enhancing technologies (PETs) and their applications in AI/ML projects
• Preferred Experience working with data protection authorities and managing data protection impact assessments (DPIAs) in a data-driven organization
• Preferred Strong understanding of GDPR, ePrivacy, and other relevant privacy and data protection legislation, as well as global privacy frameworks and best practices

Benefits

• Monthly internet reimbursement
• Casual, remote work environment
• Hybrid, flexible hours
• Opportunity for advancement
• Fun annual team events
• Being part of a high performing team that wants to win and have fun doing it
• Extremely competitive compensation