Minimum qualifications:
- Master's degree in a Statistics, Engineering, Sciences, or a related quantitative field, or equivalent practical experience.
- 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 3 years of experience in people management within a technical leadership role.
- Experience with building and deploying machine learning models for business applications.

Preferred qualifications:
- PhD in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
- 9 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience with leading, developing, and prioritizing work for an offshore pod across timezone.
- Experience in collaborating with executive leaders and driving cross-functional alignment, with excellent stakeholder management skills.
- Excellent technical and applied ML skills,



with the ability to drive technical designs.

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.

In this role, you will act as a key leader to own and scale outcomes for the current Artificial Intelligence (AI)-focused demand. You will hire, mentor, and lead a Data Science pod based in India to drive data science initiatives for People Operations use cases. You will bridge the gap between business questions and advanced technical execution. You will

📌 Data Science Manager I, AI/ML (Hyderabad)
🏢 Google
📍 Hyderabad