Data Scientist, gTech Ads Solutions

Minimum qualifications:

• Master's degree in Statistics, Engineering, Sciences, a related quantitative discipline, or equivalent practical experience.
• 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:

• Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
• Experience using or deploying digital analytics and measurement solutions.
• Experience leveraging data insights into storytelling for business stakeholders.
• Experience in Computer Vision and NLP in the context of marketing analytics, with the ability to bring generative AI technologies to customer problems in marketing.
• Knowledge of the statistical algorithms used in Marketing Analytics.

About the job

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

The Data Scientist role in the Measurement Centre of Excellence serves as a technical expert, utilizing Google’s ML capabilities to build data science and measurement solutions to our Large Customer Sales (LCS) clients plus agencies and internal teams.

In this role, you will be responsible for applying best data science practices to solve our ads customers’ complex problems in marketing and execute on gTech’s strategy and outlook to deliver applied data science to Google's largest ads customers.

Responsibilities

• Lead data science aspects of client engagements in the area of marketing portfolio management.
• Collaborate with customers to solve their problems and identify the best statistical techniques that can solve the problem, and own the development of modeling framework.
• Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a solution.
• Work with customer and internal teams to translate data and model results into tactical and strategic insights for decision-making, and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied Data Science team, employing methods which create opportunities for scale, and help to drive innovation.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.