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.
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
- Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.
Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process
Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team (855-557-3247) or [email protected] for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.