Samsung Ads is looking to distill the maximum value out of data to drive business growth and solve complex problems by exploring the latest data mining and machine learning techniques to form a data-driven culture for decision making and product design.
Requirements
- Solid theoretical background in data analytics, data mining, machine learning, and statistics
- 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.)
- 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.
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
Other
- 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
- Outstanding problem-solving skills and creative thinking to address open challenges in various fields
- Excellent communication and interpersonal skills
