Samsung Data Scientist Platform Intelligence 

United States, California, Mountain View 

95183816

Role and Responsibilities

• Lead a data science team as a tech lead to deliver production-grade solutions, maximizing data value and optimizing our systems
• Develop optimization and machine learning solutions for various components of the ad serving system, including but not limited to targeting, pacing, pricing, and bidding
• Drive business growth by proposing and delivering end-to-end data science projects into production
• Proactively analyze the business health of the Samsung Ads ecosystem, identify product bottlenecks, uncover new business opportunities, support strategic decision-making, and propose technical solutions
• Develop metrics and measurement frameworks to assess machine learning models, attribution, incrementality testing, and campaign performances
• Communicate effectively and present to diverse audiences, including leadership teams, engineering stakeholders, and product owners

Experience Requirements:

• Master’s or PhD degree in science or engineering fields
• 6+ years of industry experience with a Master’s degree or 4+ years of industry experience with a PhD degree
• Solid theoretical background in data analytics, data mining, machine learning, and statistics
• Outstanding problem-solving skills and creative thinking to address open challenges in various fields
• Proficiency in SQL and databases
• Strong programming skills in Python, Go, or other OOP languages
• Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
• Excellent communication and interpersonal skills

Preferred Experience Requirements:

• Hands-on experience with production-grade machine learning solutions and/or software development
• Experience with the advertising industry and real-time bidding (RTB) ecosystem
• Experience with advertising technology is ideal.
• Experience with ad pacing or bid optimization is ideal but not required.