Senior Staff Data Scientist - Cloud Supply Chain and Operations

**Role Overview:**

As a Staff Data Scientist at Google, you will play a crucial role in leveraging data-driven insights to shape business and technical strategies. Working with huge datasets, you will identify opportunities for operational efficiency improvements, ranging from enhancing advertising effectiveness to optimizing network infrastructure. Your role goes beyond data analysis as you collaborate with various teams to implement solutions based on your findings.

• *Key Responsibilities:**
• Manage Bengaluru Center of Excellence for Cloud Supply Chain and Operations, Data Science, and AI Modeling team.
• Lead a portfolio of programs focusing on developing ML/Statistical models, conducting diagnostic analytics research, and providing prescriptive insights.
• Guide the team in problem framing, metrics development, data extraction, visualization, and storytelling.
• Offer problem-solving thought leadership by making proactive and strategic contributions such as suggesting new models, analyses, or experiments to drive business improvements.
• Oversee the integration of project timelines across functions and organizations, drive process enhancements, and define operational objectives.
• *Qualifications Required:**
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, involving coding in Python, R, SQL, querying databases, or statistical analysis; or 6 years of experience with a PhD degree.
• Preferred qualifications include 10 years of relevant experience or 8 years with a PhD, along with 3 years as a people manager in a technical leadership role.
• Strong business intuition, ability to synthesize multiple data points, and excellent problem-solving skills are essential for this role.

(Note: No additional details about the company were provided in the job description.) **Role Overview:**

As a Staff Data Scientist at Google, you will play a crucial role in leveraging data-driven insights to shape business and technical strategies. Working with huge datasets, you will identify opportunities for operational efficiency improvements, ranging from enhancing advertising effectiveness to optimizing network infrastructure. Your role goes beyond data analysis as you collaborate with various teams to implement solutions based on your findings.

• *Key Responsibilities:**
• Manage Bengaluru Center of Excellence for Cloud Supply Chain and Operations, Data Science, and AI Modeling team.
• Lead a portfolio of programs focusing on developing ML/Statistical models, conducting diagnostic analytics research, and providing prescriptive insights.
• Guide the team in problem framing, metrics development, data extraction, visualization, and storytelling.
• Offer problem-solving thought leadership by making proactive and strategic contributions such as suggesting new models, analyses, or experiments to drive business improvements.
• Oversee the integration of project timelines across functions and organizations, drive process enhancements, and define operational objectives.
• *Qualifications Required:**
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, involving coding in Python, R, SQL, querying databases, or statistical analysis; or 6 years of experience with a PhD degree.
• Preferred qualifications include 10 years of relevant experience or 8 years with a PhD, along with 3 years as a people manager in a technical leadership role.
• Strong business intuition, ability to synthesize multiple data points, and excellent problem-solving skills are essential for this role.

(Note: No additional details about the company were provided in the job description.)