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Data Scientist, gTech Ads

Data Scientist, gTech Ads

1 Week ago • 3 Years + • Data Analyst • Marketing

About the job

7 skills required for this role

Add these skills to join the top 1% applicants for this job

algorithms

computer-vision

python

sql

data-science

innovation

cross-functional

Job Description

The gTech Ads Marketing Data Science team at Google focuses on measuring and optimizing marketing ROI for clients. The Data Scientist will lead data science aspects of client engagements, collaborating with clients to identify and implement statistical solutions for their marketing portfolio management. Responsibilities include developing modeling frameworks, assessing data readiness, translating data and model results into actionable insights, and collaborating with product/engineering teams to enhance capabilities and drive innovation. The role requires expertise in statistical modeling, data analysis, and communication, with a focus on applying innovative technologies to solve real-world marketing challenges. Candidates must have a Master's degree (or equivalent experience) and at least 3 years of relevant experience.

Must have:

Master's degree in quantitative discipline
3+ years analytics experience solving business problems
Proficiency in Python, R, SQL
Experience with statistical analysis and database querying
Lead data science aspects of client engagements
Develop and implement statistical models

Good to have:

2 years experience with digital analytics and measurement solutions
2 years experience delivering ML insights to customers
Experience in Computer Vision and NLP in marketing analytics
Knowledge of statistical algorithms used in Marketing Analytics
Experience with generative AI technologies

Minimum qualifications:

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.

Preferred qualifications:

2 years of experience using or deploying digital analytics and measurement solutions.
2 years of experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
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 gTech Ads Marketing Data Science team helps measure and optimize marketing ROI for Google’s clients. The team builds models that address client’s key business challenges and learn the innovative technologies that drive Google products and bring those innovations to life in the context of specific client needs.

Responsibilities

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, and work with clients to integrate recommendations into business processes.
Collaborate with Product/Engineering teams to increase and optimize capabilities of the Applied DS team, employing methods which create opportunities for scale, and help to drive innovation.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.