Ai/Ml Data Scientist

Summary

Join Pixalate, a leading online trust and safety platform, as an AI/ML Data Scientist! Working remotely from Singapore, you'll collaborate with a global team to analyze large datasets, develop AI/ML algorithms, and create innovative fraud detection and prevention solutions. This entry-level position requires a BS in a quantitative field, experience in data science and AI/ML, and proficiency in SQL and Python. You'll leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve existing models and create new products. 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
• 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
• Extremely competitive compensation