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Data Scientist, gTech Ads Professional Services

Ontario, Canada (On-site)

Data Scientist, gTech Ads Professional Services

1 Month ago • 3-4 Years • Data Analyst • Undisclosed

About the job

5 skills required for this role

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

computer-vision

python

sql

data-science

innovation

Job Description

This Data Scientist role at Google's gTech Ads Professional Services focuses on measuring and optimizing marketing ROI for major clients. Responsibilities involve building custom models to tackle client challenges, collaborating with customers to define problems and develop end-to-end modeling frameworks, engaging stakeholders to ensure data and model readiness, and translating data/model results into actionable insights. The role requires strong collaboration with clients and internal teams, presenting findings, integrating recommendations into business processes, and contributing to the innovation and scaling of applied data science capabilities within Google. The ideal candidate possesses expertise in ML, statistics, and marketing analytics, along with experience in delivering insights from ML to clients.

Must have:

Master's degree in quantitative discipline
3+ years experience using analytics to solve business problems
Proficiency in Python, R, SQL
Experience querying databases and statistical analysis
Lead data science aspects of client engagements
Develop end-to-end modeling frameworks

Good to have:

PhD in Statistics, Mathematics, Economics, or Applied Science
Experience in Computer Vision and NLP in marketing analytics
Experience with generative AI technologies in marketing
Experience using or deploying digital analytics and measurement solutions

Minimum qualifications:

Master's degree in a quantitative discipline such as Statistics, Development, 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.

Preferred qualifications:

PhD in Statistics, Mathematics, Economics, Development or Applied Science or equivalent practical experience.
4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
Experience in Computer Vision and NLP in the context of marketing analytics and the ability to bring cutting edge generative AI technologies to customer problems in marketing.
Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
Experience using or deploying digital analytics and measurement solutions.

About the job

In this role, you will help measure and optimize marketing ROI for Google’s largest clients. You will build bespoke models that address client’s key business challenges.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

Responsibilities

Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of ML and statistics.
Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem; own the development of end-to-end 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 that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
Collaborate with Product or Development teams to increase and optimize capabilities of our Applied DS team, employing methods which create opportunities for scale, proactively helping 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.