Ai/Ml Data Scientist

Summary

Join Pixalate, a leading online trust and safety platform, as an AI/ML Data Scientist. This remote role in Singapore requires collaborating with various teams to analyze large datasets, develop AI/ML algorithms, and derive insights for fraud detection and prevention. You will leverage advanced machine learning techniques, ensuring compliance with global privacy laws. The ideal candidate possesses a BS in a quantitative field and 4+ years of relevant experience. Pixalate offers a competitive compensation package and a casual, remote work environment with flexible hours.

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, working closely with legal, engineering, data science, marketing, sales, and customer success teams to enhance privacy-related services and identify customer needs
• Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models while adhering to privacy regulations
• Research and implement state-of-the-art AI/ML algorithms to stay ahead of emerging fraud patterns and trends, maintaining compliance with privacy laws and regulations
• 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, while maintaining privacy compliance
• 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, ensuring privacy and data protection compliance
• 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

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