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
Contact Company
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 organization. This role sits at the intersection of data science, marketing analytics, and business strategy, working with Google's largest advertising clients to optimize their marketing ROI through sophisticated data modeling and analysis.

The position offers a unique opportunity to work with a diverse team of professionals, including PhDs, statisticians, economists, and engineers, all focused on leveraging data science and machine learning to solve complex marketing challenges. You'll be part of gTech Ads, which is responsible for supporting Google's entire Ad products stack, helping customers maximize their advertising investments and implement effective campaigns.

As a Business and Marketing Data Scientist, you'll build bespoke models addressing key business questions, collaborate with clients to develop and implement statistical solutions, and translate complex data insights into actionable business strategies. The role requires strong technical skills in Python and SQL, combined with the ability to communicate technical concepts to non-technical stakeholders.

The position offers exposure to Google's cutting-edge advertising technologies and the chance to work with some of the world's largest brands. You'll be part of a team that drives innovation in digital advertising while helping businesses of all sizes achieve their marketing goals. The role combines technical expertise with business acumen, making it ideal for someone who wants to impact both technological advancement and business success in the digital advertising space.

Working at Google means joining a company committed to diversity, equity, and inclusion, with a global reach and collaborative culture. This role offers the opportunity to shape the future of digital advertising while working with cutting-edge technology and data science methodologies.

Last updated 4 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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