The company is looking to leverage machine learning and data analysis to improve advertiser benefit and expand its ads business to new customers and products.
Requirements
- Master or Ph.D. degree in quantitative fields, such as computer science, statistics, electrical engineering, mathematics or equivalent.
- 4+ years (for Ph.D.) or 6+ years (for other degrees) of industry experience working with large-scale, complex datasets to create and optimize machine learning models.
- Ability and experience to write robust and efficient code using Java, Python, etc for model prototypes and working with software engineers for productionizing them.
- Ph.D. in quantitative fields is strongly preferred.
- 3+ year experience with advertising or ecommerce industry.
Responsibilities
- Work with product team, sales team, and other stakeholders to formulate the business problems into machine learning and data analysis projects.
- Design features and build large-scale machine learning models and systems.
- Perform statistical analyses to improve advertiser benefit and our ads revenue.
- Find new opportunities to expand our ads business to new customers/products with data and machine learning model supports.
- Solve ambiguity and act as consultant in ML model related problems across team.
- Mentor the junior team members.
- Effectively collaborate with other roles, including machine learning engineers, data scientists, economists and software developing engineers, to lead projects within or across team.
Other
- Strong problem-solving skills.
- Track record of diving into data to discover hidden patterns and solving problems with data science, launching successful features and improving business metrics.
- Strong ownership and ability to lead project end to end;
- Good communicator, both to technical and business audiences.
- Ability to work in multicultural, cross functional team, and to deal with ambiguity in business and technology.
