Samsung Ads - Senior Staff Machine Learning Engineer Data Science

$220,000 - $280,000/Yr

Samsung - San Jose, CA

Full-time - Senior

San Jose, CA

Merchant Wholesalers, Durable Goods

About the position

The Senior Staff Machine Learning Engineer at Samsung Ads is a pivotal role focused on leveraging advanced data science techniques to drive business growth and solve complex challenges within the advertising technology sector. This position involves leading a data science team, collaborating with various stakeholders, and utilizing unique Samsung proprietary data to develop innovative solutions that enhance product performance and uncover new revenue opportunities.

Responsibilities

• Lead a data science team to provide data-driven insights and deliver production-grade solutions to maximize the value of our data.
• Examine business health and identify product bottlenecks in the Samsung Ads ecosystem to unveil new business opportunities and suggest technical solutions.
• Propose and deliver data science projects into production from end to end to drive business growth.
• Utilize hands-on data science techniques, including advanced analytics, machine learning, and statistics, to solve challenging problems promptly.
• Collaborate closely with the machine learning team to define and improve machine learning products.
• Provide data science support to various stakeholders, including 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.

Requirements

• Master's or PhD degree in science or engineering fields.
• 7+ years of industry experience with a Master's degree or 5+ 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.

Nice-to-haves

• Hands-on experience with production-grade machine learning solutions and/or software development.
• Experience with the advertising industry and real-time bidding (RTB) ecosystem.

Benefits

• Competitive salary range between $220,000 and $280,000 based on experience and skills.