FAQs
What are the minimum qualifications required for this position?
The minimum qualifications include a Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience, along with 3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), and querying databases or statistical analysis, or a relevant PhD degree.
What preferred qualifications should candidates have?
Preferred qualifications include a Master's degree in Statistics, Mathematics, Bioinformatics, Economics, or another quantitative field, 2 years of experience in a data science or related technical field, experience with statistical software (such as Python, R, and/or MATLAB), experience delivering insights from AI/ML and statistical solutions, and understanding of AI/ML and statistical methods used in marketing analytics.
What responsibilities will the Business and Marketing Data Scientist have?
Responsibilities include leading data science aspects of client engagements, collaborating with customers to solve problems, engaging stakeholders to assess data and model readiness, translating data and model results into actionable insights, and collaborating with Product/Engineering teams to drive innovation and optimize capabilities.
Who will I be working with in this role?
You will work with a multi-disciplined team that includes PhDs, statisticians, economists, engineers, and former consultants, all of whom have deep expertise in Data Science, Machine Learning (ML), and Marketing Analytics.
What is gTech Ads' role within Google?
gTech Ads is responsible for providing support and technical services for customers across Google's Ad products stack, helping customers maximize their use of Ad and Publisher products and offering bespoke and scalable solutions.
Where can I work if I am hired for this position?
You can choose your preferred working location from Bengaluru, Karnataka, India; Gurugram, Haryana, India; or Mumbai, Maharashtra, India.
Does Google promote equal employment opportunities?
Yes, Google is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Will I have the opportunity to learn about innovative technologies?
Yes, in this role, you will learn about innovative technologies that drive Google products and bring those innovations to life in the context of specific client engagements.
What types of tools and software will I be expected to use?
You will use statistical software such as Python, R, and MATLAB, as well as database languages like SQL for data extraction and modeling.
What is the focus of the models you will be building?
You will be building bespoke models that address key business questions and help measure and optimize marketing Return on Investment (ROI) for Google's largest clients.