Staff Data Scientist

Position Summary

Position Summary

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on the most challenging projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. We are seeking a Staff Data Scientist to join Samsung Ads Data Science team focusing on experimentation and measurement. This is a hands-on technical role where you'll build and implement advanced analytics solutions that power our advertising platform. You'll work closely
with cross-functional teams to develop sophisticated measurement frameworks, attribution models, and experimentation capabilities that drive data-informed decision-making across the organization.

Location: Mountain View, CA

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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