Staff Data Scientist

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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