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Senior Data Scientist, Business and Marketing

Senior Data Scientist, Business and Marketing

1 Month ago • 4 Years + • Marketing • Data Analyst

About the job

7 skills required for this role

Test your skills to join the top 1% applicants for this job

algorithms

computer-vision

python

sql

data-science

innovation

cross-functional

Job Description

The Senior Data Scientist, Business and Marketing at gTech Ads will lead data science aspects of client engagements, focusing on marketing portfolio management. Responsibilities include collaborating with clients to identify optimal statistical techniques for problem-solving, developing modeling frameworks, engaging stakeholders to assess data and model readiness, and translating results into actionable insights. The role also involves working with internal teams to optimize Applied DS capabilities, driving innovation and scalability. The ideal candidate possesses a Master's degree in a quantitative field and 4+ years of experience using analytics to solve business problems, with expertise in coding (Python, R, SQL), database querying, and statistical analysis. Experience with ML, digital analytics, and ideally Computer Vision/NLP is highly valued.

Must have:

Master's degree in quantitative field
4+ years analytics experience
Proficiency in Python, R, SQL
Statistical modeling expertise
Client communication & collaboration
Problem-solving & data analysis skills

Good to have:

Experience delivering ML insights
Digital analytics & measurement experience
Computer Vision/NLP in marketing analytics
Generative AI application in marketing
Knowledge of marketing analytics algorithms

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Minimum qualifications:

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

Preferred qualifications:

Experience delivering insights from ML to customers (e.g., problem scoping/definition, modeling, interpretation).
Experience using or deploying digital analytics and measurement solutions.
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 resolve 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.