Position Summary

Role and Responsibilities

• Responsibilities● Design, develop, and deploy advanced experimentation frameworks and A/B testing infrastructure for our Machine Learning solutions
• Build and maintain comprehensive metrics and measurement systems to evaluate ML model performance and business impact
• Implement causal inference models and multi-touch attribution systems tracking
• Build and implement revenue potential assessment models and product sizing methodologies
• Research and prototype novel experimentation techniques addressing complex challenges like user behavior variability and data limitations
• Work closely with Product Managers, ML Engineers, and stakeholders to execute projects from conception to production
• Support strategic decision-making through rigorous statistical analysis and modeling

Experience Requirements:

• Master's degree with 4+ years of industry experience, OR PhD with 2+ years of industry experience
• Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or related quantitative field
• Fluent in SQL and Python for data analysis, statistical modeling, and system development
• Strong hands-on experience with:
• A/B testing design, implementation, and statistical analysis
• Causal inference methodologies
• Attribution modeling and measurement frameworks
• Machine learning model evaluation and performance monitoring
• Statistical modeling and hypothesis testing
• Strong communication skills with ability to present complex technical concepts to diverse audiences
• Experience working in cross-functional teams with product managers and engineers

Skills and Qualifications:

Preferred Experience Requirements:

• Prior experience in advertising industry and real-time bidding (RTB) ecosystem
• Background in econometrics or marketing mix modeling
• Experience with large-scale data systems and cloud platform.

Compensation for this role, for candidates based in New York, NY, is expected to be between $190,000 ~ $225,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Regular full-time employees (salaried or hourly) have access to benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more.

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