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

May 3, 2023

Pixalate

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Market-leading fraud protection, privacy, & compliance analytics platform for Connected TV, Mobile Apps & Websites.

mobile • OTT • CTV • ConnectedTV • IVT

51 - 200

💰 $18M Venture Round on 2021-09

Description

• Serve as a subject matter expert on privacy and data protection and work closely with cross-functional teams • Leverage advanced machine learning techniques to improve fraud detection and prevention 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

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 • 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) • 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

• Casual, remote work environment • Flexible hours • Opportunity for advancement • Fun annual team events • Extremely competitive compensation