Senior Applied Scientist, Brand Ads Senior Applied Scientist, Brand Ads

About the Role

Key Responsibilities

• Translate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies.
• Work with engineers to produce data when questions cannot be answered with existing data.
• Retrieve, synthesize, and present data in a format that is immediately useful for answering specific questions or improving system performance.
• Apply statistical or machine learning techniques to solve specific business problems.

Requirements

• Deep domain knowledge in the field of forecasting.
• Strong technical capabilities in data or machine learning.
• Experience in ads bidding, ranking, and retrieval, with a focus on ads forecasting being 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.
• Background as a data scientist or applied scientist working in forecasting.

Nice to Have

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

Qualifications

• Not explicitly specified, but implied: relevant experience in data science, applied science, or forecasting roles.

Benefits & Perks

• Employees have day one access to medical, dental, and vision insurance.
• A 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance and wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire).