Applied Scientist (Ads Auction, Ads Bidding, Ads Reservation)

Key Responsibilities

• Applying statistical or machine learning knowledge to solve forecasting problems used by advertisers to make ad spending decisions.
• Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies.
• In cases where questions cannot be answered with available data, work with engineers to produce the required data.
• Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance.
• Applying statistical or machine learning knowledge to solve specific business problems.

Minimum Qualifications

• Deep domain knowledge in the field of forecasting.
• Strong technical capabilities in data or Client.

Preferred Qualifications

• Experience in ads bidding, ranking, and retrieval, ads forecasting is a strong plus.
• Expertise in large-scale ads delivery, recommendation, or search is highly desirable.
• Proven track record of working closely with product and product marketing teams is a plus.

Required Skills and Certifications

• Machine Learning Algorithms
• Deep Learning