Samsung Ads - Lead Machine Learning Engineer - Data Science

$260,000 - $280,000/Yr

Samsung - Mountain View, CA

Full-time - Senior

Mountain View, CA

Merchant Wholesalers, Durable Goods

About the position

The Lead Machine Learning Engineer at Samsung Ads will spearhead a data science team focused on leveraging advanced analytics and machine learning to drive business growth and solve complex challenges within the advertising ecosystem. This role involves collaborating with various stakeholders to develop insights and deliver production-grade solutions, utilizing unique Samsung proprietary data to uncover new revenue opportunities and enhance product performance.

Responsibilities

• Lead a data science team to provide data-driven insights and deliver production-grade solutions.
• Examine business health and identify product bottlenecks in the Samsung Ads ecosystem to unveil new business opportunities.
• Propose and deliver data science projects into production to drive business growth.
• Apply hands-on data science techniques, including advanced analytics, machine learning, and statistics, to solve challenging problems.
• Work 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.
• Effectively communicate with and present to a variety of audiences, such as the leadership team 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.
• 6+ years of industry experience with a Master's degree or 4+ years with a PhD.
• Solid theoretical background in data analytics, data mining, machine learning, and statistics.
• Outstanding problem-solving skills and creative thinking.
• 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).
• 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.
• Experience with advertising technology is ideal.
• Experience with ad pacing or bid optimization is ideal but not required.

Benefits

• Medical, Dental, Vision, Life Insurance
• 401(k)
• Employee Purchase Program
• Tuition Assistance (after 6 months)
• Paid Time Off
• Student Loan Program (after 6 months)
• Wellness Incentives