Data Scientist, Ads Solutions Engineering

Lead data science aspects of client engagements in the area of marketing portfolio management.
Collaborate with customers to resolve their problems and identify the best statistical techniques that can solve the problem, and own the development of modeling framework.
Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
Work with customer and internal teams to translate data and model results into tactical and insights for decision-making, and work with clients to integrate recommendations into business processes.
Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied DS team, employing methods which create opportunities for scale, and help to drive innovation.

Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

MBA or Master's degree in a related technical field.
Experience working with ad tech products, such as ad server, DSPs, DMPs, and web analytics, and an understanding of engineering solutions built for scale.
Experience working in the ad space, including first-party data onboarding and activation, measurement and data modeling, video and search advertising.
Ability to communicate in Mandarin and English fluently to support client relationship management in this region.
Excellent project management, people management and leadership skills, with the ability to formulate data-driven proposals.
Excellent written and verbal business communication skills.

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