Samsung Machine Learning Engineer – Data Science 

United States, California, Mountain View 

862171303

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 in a timely manner

• 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

Experience Requirements:

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

• 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

• 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