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

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

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

Company Overview
This global trust and safety platform offers fraud protection, privacy, and compliance analytics across Connected TV (CTV) and mobile advertising. Accredited by MRC, it provides omni-channel solutions to reduce ad fraud in various digital environments, supporting brands in enhancing security and media value while complying with privacy regulations.

Role Overview
As a Senior Data Scientist in Ad Tech Fraud Detection & Prevention, you’ll drive AI/ML solutions addressing fraud and privacy challenges within the advertising space. Working across global teams, you’ll develop cutting-edge models and algorithms, drawing from complex datasets to support privacy-conscious fraud prevention. This role involves close collaboration with data scientists, product managers, and cross-functional teams to ensure legal compliance and address evolving industry needs.

Responsibilities

• Serve as a privacy and data protection expert, collaborating with legal, engineering, and product teams to refine privacy-enhanced services.
• Implement advanced machine learning techniques, including deep and reinforcement learning, for fraud detection while ensuring regulatory compliance.
• Stay current with industry trends, developing new algorithms for emerging fraud patterns.
• Support products by troubleshooting client issues through data analysis and research.
• Identify and mitigate new fraud types with early-detection algorithms.
• Develop visualizations, document methodologies, and present findings to product and marketing teams.
• Automate reporting, validate statistical hypotheses, and drive data-driven decision-making.
• Mentor junior team members, promoting knowledge-sharing and growth.

Qualifications

• Bachelor’s in Computer Science, Engineering, Mathematics, or related fields.
• 4+ years in data science, specializing in AI/ML and privacy.
• Skilled in SQL and Python (R is a plus), with deep knowledge of ML algorithms and frameworks like TensorFlow, PyTorch, and Keras.
• Familiarity with global privacy regulations, particularly European data laws.
• Preferred: MS/PhD in quantitative fields, knowledge of AWS and UNIX, and experience in privacy-enhancing technologies and data protection impact assessments.

Disclaimer:
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore during these challenging times.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. Users must click to apply, redirecting to the employer’s career page.
4. No Liability: SpringCube is not liable for inaccuracies.