Business and Marketing Data Scientist, gTech Ads

Google is a global technology leader specializing in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Advertising

Description For Business and Marketing Data Scientist, gTech Ads

Google's gTech Ads team is seeking a Business and Marketing Data Scientist to join their dynamic organization. This role is crucial in supporting Google's advertising products stack, helping customers optimize their marketing ROI through data-driven solutions. You'll be part of a diverse team of PhDs, statisticians, economists, and engineers, working on cutting-edge marketing analytics and machine learning applications.

The position offers an opportunity to work with Google's largest clients, building bespoke models to address critical business questions. You'll be at the intersection of data science and business strategy, translating complex analytical insights into actionable recommendations. The role involves collaborating with cross-functional teams and directly engaging with clients to implement data-driven solutions.

As part of Google Ads, you'll contribute to powering the open internet by developing innovative advertising solutions across search, display, shopping, travel, and video advertising. The team focuses on creating trusted experiences between people and businesses through effective advertising tools that deliver measurable results.

This role is perfect for someone who combines strong technical skills in data science and machine learning with business acumen and client-facing abilities. You'll have the chance to work with cutting-edge technology while solving real-world marketing challenges for major businesses. The position offers exposure to Google's advanced advertising technology stack and the opportunity to drive innovation in marketing analytics.

Last updated 3 days ago

Responsibilities For Business and Marketing Data Scientist, gTech Ads

  • Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics
  • Collaborate with customers to solve their problems and identify the best statistical techniques, and develop a modeling framework
  • Engage important stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution
  • Work with customers and internal teams to translate data and model results into tactical and strategic insights
  • Collaborate with Product/Engineering teams to increase and optimize capabilities of Applied Digital Skills team

Requirements For Business and Marketing 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, querying databases or statistical analysis, or a relevant PhD degree
  • Experience with statistical software (Python, R or MATLAB) and database languages (SQL)
  • Understanding of AI/ML and statistical methods typically used in marketing analytics

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