Business Data Scientist, gTech Ads
Job Summary
Job Description
- Master's degree in quantitative discipline
- 3+ years analytics experience solving business problems
- Proficiency in Python, R, SQL
- Experience with ML model building and deployment
- Strong communication & presentation skills
- 2 years experience delivering ML insights to customers
- 2 years experience with digital analytics solutions
- Understanding of statistical algorithms in marketing analytics
- Proficiency in Computer Vision and NLP for marketing analytics
- Experience with generative AI in marketing
8 skills required
Job Details
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 relevant PhD degree.
Preferred qualifications:
- 2 years of experience delivering insights from ML to customers (problem scoping/definition, modeling, interpretation).
- 2 years of experience using or deploying digital analytics and measurement solutions.
- Understanding of the statistical algorithms typically used in Marketing Analytics.
- Proficiency in Computer Vision and NLP in the context of marketing analytics and the ability to bring cutting-edge generative AI technologies to customer issues in marketing.
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.
We are multi-disciplined professionals, PhDs, statisticians, economists, engineers, and former consultants with deep experience in Data Science, Machine Learning and Marketing Analytics.
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 the issues and identify the best statistical techniques that can solve the issues and 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 large 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/Engineering teams to increase and optimize capabilities of our Applied Data Scientist, (DS) team, employing methods which create opportunities for scale, proactively helping to drive innovation.
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About The Company
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.
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