Data Scientist, Machine Learning

Role And Responsibilities

• Lead a data science team to provide data-driven insights and deliver production-grade solutions to maximize the value of our data
• Innovatively examine business health of and identify product bottlenecks in the entire Samsung Ads ecosystem to unveil new business opportunities, help strategic decision making, and suggest technical solutions
• Propose and deliver data science projects into production from end to end to drive business growth
• Apply hands-on data science techniques, including advanced analytics, machine learning, statistics, etc. to solve challenging problems promptly
• Closely work with the machine learning team to define and improve machine learning products
• Provide data science support to various stakeholders, for example, designing experiments and evaluation metrics for different products
• Effectively communicate with and present to a variety of audiences, such as the leadership team, engineering stakeholders, and product owners
• Promote a data-driven culture within the company by coaching different stakeholders

Skills And Qualifications

• Master’s or PhD degree in science or engineering fields. 4+ years of industry experience with a Master’s degree or 2+ 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

MOUNTAIN VIEW, CA AND NEW YORK ONLY

Compensation for this role is expected to be between $230,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.