Business Data Scientist

1 Day ago • 3 Years + • Data Analyst

Job Summary

Job Description

The Business Data Scientist at gTech Ads will measure and optimize marketing ROI for Google's largest clients. Key responsibilities include building models to address client business issues, leveraging innovative Google technologies, collaborating with clients to identify and implement statistical solutions, and translating data and model results into actionable insights. The role also involves scaling proof-of-concept models into larger solutions, working with internal teams to enhance data science capabilities, and presenting findings to clients. This position requires a Master's degree (or equivalent experience) in a quantitative field and 3+ years of relevant experience, including proficiency in Python, R, and SQL. Experience with ML and Marketing Analytics is crucial.
Must have:
  • Master's degree in quantitative discipline
  • 3+ years analytics experience
  • Proficiency in Python, R, SQL
  • ML and statistical modeling experience
  • Client communication & presentation skills
Good to have:
  • 2 years experience delivering ML insights
  • 2 years experience with digital analytics
  • Understanding of marketing analytics algorithms
  • Proficiency in Computer Vision and NLP
  • Experience with generative AI

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.

In this role, you will be helping in measuring and optimizing marketing Return on Investment (ROI) for Google’s largest clients. You will be building models that address client’s key business issues. You will 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 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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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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