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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