Data Scientist, gTech Ads

Google is a global technology company that provides a wide range of internet-related services and products.
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Scientist, gTech Ads

Google's gTech Ads team is seeking a Data Scientist to join their Marketing Data Science team, focusing on measuring and optimizing marketing ROI for Google's clients. This role combines advanced analytics, machine learning, and business strategy to help customers maximize their advertising investments. The position requires expertise in statistical analysis, programming, and marketing analytics, with opportunities to work on cutting-edge problems using computer vision and NLP.

The role involves leading data science initiatives for marketing portfolio management, collaborating directly with clients to understand their challenges, and developing sophisticated modeling frameworks to address their needs. You'll be working at the intersection of data science and business strategy, translating complex analytical insights into actionable recommendations for clients.

As part of gTech Ads, you'll be responsible for supporting Google's entire Ad products stack, helping customers optimize their advertising campaigns through data-driven insights. The team provides various services, from implementing ad campaigns to delivering complex technical solutions for large customers.

The ideal candidate should have strong quantitative skills, experience with programming languages like Python and SQL, and a deep understanding of marketing analytics. You'll work in a cross-functional, global environment, partnering with Sales, Product, and Engineering teams to develop better solutions and enhance client experience.

This position offers the opportunity to work with cutting-edge technology, solve complex business problems, and directly impact Google's advertising ecosystem. You'll be part of a team that ensures customers get the best return on investment while maintaining Google's position as a trusted partner in the advertising industry.

Last updated a month ago

Responsibilities For Data Scientist, gTech Ads

  • Lead data science aspects of client engagements in the area of marketing portfolio management
  • Collaborate with customers to unpack 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
  • Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied DS team

Requirements For Data Scientist, gTech Ads

Python
  • Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, 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
  • 2 years of experience using or deploying digital analytics and measurement solutions (preferred)
  • 2 years of experience delivering insights from ML to customers (preferred)
  • Experience in Computer Vision and NLP in the context of marketing analytics (preferred)
  • Knowledge of the statistical algorithms used in Marketing Analytics (preferred)

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