Staff Data Scientist

What you'll do

• Drive innovative research within the data science fraud team
• Improve accuracy and increase scope of IVT (invalid traffic) detection across multiple platforms (web, mobile, CTV, gaming, social media)
• Collaborate with Threat Lab to understand evolving fraud schemes and invent quantitative solutions
• Develop automated IVT detection systems based on science, data, and ML
• Communicate value of solutions to multiple stakeholders
• Socialize predictive power and business value of data-driven ML
• Own projects end-to-end while collaborating, learning, mentoring
• Collaborate with engineers to integrate fraud solutions into engineering workflows
• Mentor junior data scientists
• Respond to internal and client-facing incidents

Requirements

• PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)
• 6-10+ years experience solving analytical problems using quantitative approaches and ML methods in a business environment
• Practical experience building ML systems, ideally using weak supervision and automated data labeling
• Experience with and a passion for embracing the latest AI tools
• End-to-end ownership of work: prototyping, debugging, evaluation, optimization, production deployment, live monitoring
• Knowledge of cutting edge research in ML applications and deep learning
• Capable of using SQL to answer key data questions quickly
• Expertise in Python and R for statistical computation
• Enthusiasm for telling stories with data and understanding data flow to produce business outcomes
• Innate curiosity about data problems and commitment to thorough analysis
• Love of science and the scientific method

Tech stack

Benefits