Ad Fraud Detection and Prevention Expert with AI/ML Focus

5 days ago


Bloomington, Illinois, United States Pixalate, Inc. Full time

Pixalate, Inc., a leading online trust and safety platform, is seeking an experienced Senior Data Scientist to join our team.

Job Overview

We protect businesses, consumers, and children from deceptive, fraudulent, and non-compliant mobile, CTV apps, and websites. Our software and data have been used to expose multiple high-profile criminal and illegal surveillance cases.

You will collaborate closely with data scientists, engineers, product managers, and marketers to analyze large datasets, develop AI/ML algorithms, and derive insights to address complex business problems in fraud detection/prevention and advertising data analytics.

Key Responsibilities
  • Serve as a subject matter expert on privacy and data protection, working closely with legal, engineering, data science, marketing, sales, and customer success teams to enhance privacy-related services and identify customer needs.
  • Leverage advanced machine learning techniques, including deep learning and reinforcement learning, to improve fraud detection and prevention models 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.
Requirements

To succeed in this role, you will need:

  • 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.
  • A strong understanding of machine learning algorithms, basic probability, and statistics.
  • Familiarity with AI/ML tools and frameworks (e.g., OpenAI, ChatGPT, TensorFlow, PyTorch, Keras).
  • Excellent verbal and written communication skills, with a high attention to detail.
What We Offer

We provide a 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, and extremely competitive compensation.

Estimated Salary: $150,000 - $200,000 per annum

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