Staff Data Scientist-B2B Recommender Systems

The Trade Desk is a global technology company seeking a Staff Data Scientist to develop forecasting and recommendation models for intelligent planning, pacing, and optimization across the platform. The successful candidate will build large-scale recommendation systems and collaborate with product and engineering teams to integrate recommendation engines into planning, optimization, and reporting tools.

Requirements

• Strong foundation in machine learning and deep learning
• Experience developing and deploying recommendation or ranking systems
• Solid understanding of forecasting and predictive modeling
• Ability to communicate with diverse stakeholders
• Experience running heavy workloads on a distributed computing cluster
• Proficient in Python

Benefits

• Comprehensive healthcare
• Retirement benefits
• Short and long-term disability coverage
• Basic life insurance
• Well-being benefits
• Reimbursement for certain tuition expenses
• Parental leave
• Sick time
• Vacation time
• Paid holidays