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.
Effectively collaborate with other roles, including machine learning engineers, data scientists, economists and software developing engineers, to lead projects within or across team.
Solve ambiguity and act as consultant in ML model related problems across team.
Mentor the junior team members.
Basic Qualifications:
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.
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.
Ability and experience to write robust and efficient code using Java, Python, etc for model prototypes and working with software engineers for productionizing them.
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.
Preferred Qualifications:
Ph.D. in quantitative fields is strongly preferred.
3+ year experience with advertising or ecommerce industry.
