Job description
Minimum qualifications:
-
Master's degree in Statistics, Engineering, Sciences, a quantitative discipline, or equivalent practical experience.
- Experience in database languages (e.g., SQL), and statistical software (e.g., R, Python).
Preferred qualifications:
- Knowledge of advanced root cause analysis, statistical, time-series, and predictive modeling skills.
- Ability to craft engaging and compelling narratives in verbal and written communications for internal customers (including executive stakeholders), reflecting an understanding of diverse audiences.
- Ability to manage multiple projects with competing priorities.
- Excellent organizational and project management skills.
About the job
gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
Responsibilities
- Develop and refine statistical and predictive models to improve global operations.
- Analyze data on operations (e.g., spikes or dips in customer support cases or related metrics using advanced analytics, including statistical modeling and machine learning), and develop insights/recommend strategies for business partners.
- Help maintain existing implementation of methodologies.
- Develop metrics to identify pain points and process/system gaps, and devise solutions to close the gaps and improve process efficiencies.
- Perform ad-hoc data analysis to answer specific needs from higher management.
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