MINIMUM QUALIFICATIONS:

* Bachelor's degree in Statistics, Data Science, Mathematics, Physics,
Economics, Operations Research, Engineering, or a related quantitative field,
or equivalent practical experience.
* Experience in data science, statistics, or a related field.

PREFERRED QUALIFICATIONS:

* Master's degree in Statistics, Mathematics, Bioinformatics, Economics,
another quantitative field, or equivalent practical experience.
* 2 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 with statistical software (e.g., Python, R or MATLAB) and database
languages (e.g., SQL) with a valuable understanding of the AI/ML and statistical
methods typically used in marketing analytics.
* Experience delivering insights from AI/ML and statistical solutions to
clients, including problem scoping/definition, modeling and interpretation.

ABOUT THE JOB:

Google's leadership team hand-picks thorny business challenges, and members of




BizOps work in small teams to find solutions. As part of this team you fully
immerse yourself in data collection, draw insight from analysis, and then zoom
out to develop compelling, synthesized recommendations. Taking strategy one step
further, you also persuasively communicate your recommendations to senior-level
executives, roll-up your sleeves to help drive implementation and check back-in
to see the impact of your recommendations.

The Product Deployment Engineering is the regional product authority, providing
specialized product guidance and adapting standard solutions for complex client
architectures while supporting sales through technical objection handling and
discovery. By replacing bespoke regional coding with standardized, requestable
services, the role maximizes delivery velocity and drives revenue growth.

As a Data Scientist, you are positioned within the gTech Ads Large Customer
Sales Regional team and

📌 Data Scientist, Google Ads (Gurugram)
🏢 Google
📍 Gurugram