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

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

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

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