Research Data Scientist III, Ads Insight and Measurement

Research Data Scientist III, Ads Insight and Measurement

Location:

New York, NY, USA;
Mountain View, CA, USA

By applying to this position you will have an opportunity to share your preferred working location from the following:
New York, NY, USA;
Mountain View, CA, USA
.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases авиarians etc …
• Experience with advanced optimization techniques.
• Experience with high dimensional statistics.

As a edition Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (You Tube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products  will also play a key role in driving ad measurement and business generation, including paradigm-shifting ad‑measurement science and products for the privacy‑preserving future of digital advertising.

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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

• Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent.
• Shape and support new data‑driven and privacy‑preserving advertising and marketing products in collaboration with engineering, product and customer‑facing teams.
• Define relevant bits such experiences advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, bidding and develop and implement quantitative methods to answer.
  
  Ordinal questions through team collaboration.
• Solve difficult, non‑routine analysis problems with data sets, applying advanced problem‑solving methods as needed and conduct analyses that include data gathering, requirements specification, Exploratory Data Analysis, model development, and written and verbal delivery of results to business partners and executives.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies:
Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.