Pixalate is hiring a
Senior Data Scientist, Remote - United Kingdom
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Summary
The job is a Senior Data Scientist position at Pixalate focusing on Ad Tech Fraud Detection & Prevention with AI/ML and Privacy Expertise. The role requires minimum experience, is full-time, and remote. The team spans globally, and the work involves analyzing large datasets, developing AI/ML algorithms, and ensuring compliance with global privacy laws.
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
- 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
Analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics while ensuring compliance with global privacy and data protection laws
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
- Generous benefits package including 25 days holiday plus Bank holidays
- Defined contribution Pension scheme
- 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
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