Senior Data Scientist for Brand Ads
2 days ago
About the Role
">We're looking for an experienced Senior Machine Learning Engineer to join our Brand Ads Team. As a key member of the team, you'll be responsible for building and managing high-performance systems.
">In this role, you'll have the opportunity to work on cutting-edge projects, collaborate with global teams, and develop your skills in Machine Learning and data science.
">Key Responsibilities:
">- ">
- Design and implement forecasting models to optimize ad budgets.">
- Develop innovative monetization products driving engagement and revenue.">
- Contribute to the development of large-scale Ads systems.">
- Collaborate with data scientists to develop and iterate Ads algorithms using Machine Learning.">
- Work on NLP and CV technology for content understanding and taxonomy.">
Requirements
">To succeed in this role, you'll need:
">- ">
- 5+ years of experience in Machine Learning, data science, or a related field.">
- Strong programming skills in Go, C/C++, or Python.">
- Critical thinking and clear communication skills.">
- A good understanding of brand ads, content ads, auction, bidding, ranking, and ads forecasting.">
- Experience with Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, or full-stack.">
- A BS degree in Computer Science, Computer Engineering, or a relevant major.">
- Relevant professional experience with machine learning, data mining, data analysis, distribution system.">
- A good product sense and experience designing and implementing product features.">
Estimated Salary: $180,000 - $220,000 per year
">This estimate is based on industry standards and location. We offer a competitive salary package, including benefits and opportunities for growth.
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