Data Science Manager Product Cloud
@ Google

Bengaluru, Karnataka, India
₹3,000,000
On Site
Full Time
Posted 20 hours ago

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Job Details

About Data Science Manager Product Cloud at Google

The role requires a minimum of a Bachelor’s degree in a quantitative field and 10 years of analytics experience (or 8 years with a Master’s). The candidate must have substantial coding skills (Python, R, SQL) and deep experience in data science & analytics in technology or supply chain environments. Experience with data modeling and insight transformation is essential.

Preferred Qualifications

A Master’s degree is preferred along with 12 years of product or business analytics experience, including 4 years in a technical people management role. Candidates should have the ability to synthesize diverse data into actionable insights and possess strong expertise in analytics and statistical evaluation.

About the Role

This position involves serving Google’s global user base by providing analytical support and strategic insights. You will be responsible for weaving stories with meaningful data, advising engineering and product teams, and making critical recommendations.

Responsibilities

  • Manage the Bangalore Center of Excellence for Cloud Supply Chain and Operations, Data Science and Product team.
  • Lead programs developing ML/Statistical models and conducting diagnostic analytics research.
  • Guide problem framing, metrics development, data extraction, manipulation, visualization, and storytelling.
  • Provide strategic thought leadership with proactive improvements and new data analyses.
  • Oversee cross-functional project timelines and develop process improvements with clear operational goals.

Key Skills/Competency

  • Analytics
  • Data Science
  • Machine Learning
  • Statistical Analysis
  • Data Modeling
  • Python
  • R
  • SQL
  • Leadership
  • Product Management

How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google: Understand company culture and mission deeply.
  • Customize your resume: Tailor experience in data science and leadership.
  • Prepare your projects: Highlight ML and analytics case studies.
  • Practice interviews: Focus on technical and managerial questions.

📝 Interview Preparation Advice

Technical Preparation

Review Python coding and ML libraries.
Practice SQL data extraction and manipulation.
Study statistical modeling techniques thoroughly.
Brush up on data visualization tools.

Behavioral Questions

Describe a complex analytics project.
Explain your leadership style clearly.
Detail handling cross-functional conflicts.
Share decision-making under pressure.

Frequently Asked Questions