AI/ML Data Scientist

Summary

Join Pixalate, a leading online trust and safety platform, as an AI/ML Data Scientist. Collaborate with cross-functional teams to analyze large datasets, develop AI/ML algorithms, and derive insights to combat fraud and enhance advertising data analytics. Leverage advanced machine learning techniques, including deep learning and reinforcement learning, and explore LLMs, VLMs, BERT, and CLIP models for innovative product development. Ensure compliance with global privacy and data protection laws. This role requires strong analytical, communication, and problem-solving skills, along with proficiency in AI/ML tools and programming languages. Pixalate offers a remote work environment in Singapore with flexible hours and various benefits.

Requirements

• BS in Computer Science, Electrical Engineering, Math, Physics, or other quantitative fields
• 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
• Solid understanding of machine learning algorithms, basic probability, and statistics
• Familiarity with AI/ML tools and frameworks (e.g., OpenAI, DeepSeek, ChatGPT, TensorFlow, PyTorch, Keras)

Responsibilities

• Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models
• Leverage LLMs, VLMs, BERT, and CLIP models to create new and innovative products, explore new techniques and improve overall product suite
• 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
• Develop and test statistical hypotheses to support data-driven decision-making
• Fine-tune existing ML and LLM models to improve accuracy, speed and efficiency

Preferred Qualifications

• 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
• 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++
• Proven track record of integrating privacy-by-design principles into data science projects and product

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