Staff Data Scientist

What you'll do

• Drive innovative research within the data science team to improve multimedia content classification for targeting & avoidance across web, mobile, CTV, gaming, social media
• Collaborate with Core Research and Innovation Teams to understand trends and invent quantitative solutions for contextual targeting and avoidance
• Develop automated ML systems based on science, data, and ML applications
• Communicate value of ML systems to stakeholders and socialize predictive power and business value
• Own projects end-to-end while collaborating, learning, mentoring within the data science team
• Collaborate with engineers to integrate fraud solutions within engineering workflows
• Respond to internal and client-facing incidents as they arise

Requirements

• PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)
• 6+ 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
• 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 scripting languages for statistical computation: Python, R
• Enthusiasm for telling stories with data and understanding data flows to produce business outcomes
• Innate curiosity about data problems and commitment to thorough analysis
• Love of science, the scientific method, and collaboration with scientific practitioners

Tech stack