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Business and Marketing Data Scientist, gTech Ads

Google is a global technology company that provides internet-related services and products, including online advertising technologies and search.
Data
Mid-Level Software Engineer
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Advertising
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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 team responsible for support and technical services across the Ad products stack. This role combines data science expertise with business impact, focusing on measuring and optimizing marketing ROI for Google's largest clients. You'll be part of a diverse team of PhDs, statisticians, economists, and engineers, working with cutting-edge ML and marketing analytics.

The position offers an opportunity to work with Google's innovative advertising technologies while solving complex client challenges. You'll build bespoke models addressing key business questions, collaborate with customers to develop modeling frameworks, and translate data insights into actionable business strategies. The role requires strong technical skills in Python and SQL, combined with the ability to communicate complex analytical findings to stakeholders.

gTech Ads plays a crucial role in helping power the open internet by connecting people, publishers, and advertisers through Google's advertising products. The team supports businesses of all sizes, from small enterprises to large brands and YouTube creators, providing effective advertising tools and measurable results. This position offers the chance to impact Google's advertising ecosystem while working with some of the industry's most sophisticated marketing analytics tools and methodologies.

The ideal candidate will have a Master's degree in a quantitative field, strong programming skills, and experience in marketing analytics. You'll be joining a company known for its innovative culture, commitment to diversity and inclusion, and global impact. This role offers the perfect blend of technical challenge and business impact, making it an excellent opportunity for someone passionate about data science and marketing effectiveness.

Last updated 7 months 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 our 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 (such as Python, R or MATLAB) and database languages (SQL)
  • Experience with data extraction and modeling tools
  • Understanding of AI/ML and statistical methods typically used in marketing analytics

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