Data Scientist, Research, Measurement and Optimization, Ads

Job Description

Our team's mission is to make every advertiser successful on YouTube, focused on building reliable and scalable offline and serving infrastructure, innovating new direct response products, and solving bidding optimization problems.
The nature of our work requires a large degree of investigative skills to identify problems and solutions, as well as strong statistical modeling skills to define standard metrics and models to be used in bidding. Our projects are a mixture of engineering, machine learning and investigative work.
As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of the end user.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Resonsibilities:
• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
Qualifications:
Minimum qualifications:
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
• PhD degree in relevant fields (i.e., Mathematics, Statistics, Computer Science).
• 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
• Experience in constrained optimization theory.
• Knowledge of Ads systems, including auction, serving, and ads quality.

Jobcode: Reference SBJ-eoowp2-216-73-216-118-42 in your application.