Data Scientist - Product at Google

Short Description:

The Data Scientist role at Google involves leveraging data to drive strategic decisions. Responsibilities include analyzing extensive datasets, devising solutions, and implementing enhancements for product and process improvements. Key tasks encompass data analysis, statistical modeling, and collaboration across teams to establish metrics, automate processes, and drive impactful enhancements based on insights. Skills in SQL, statistical software, and BI technologies are crucial.

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Job Title: Data Scientist - Product Analytics

Company: Google

Locations: Bangalore, Karnataka, India; Hyderabad, Telangana, India

Minimum Qualifications:

• Bachelor's degree in an analytical/technical subject (e.g., Statistics, Computer Science, Engineering, Mathematics, or Economics) or equivalent practical experience.
• Experience in developing and managing projects while collaborating with teams across geographies and functions.

Preferred Qualifications:

• Proficiency with SQL-based database warehousing and dashboarding.
• Familiarity with commercial and emerging reporting tools and technologies (e.g., Tableau, QlikView, Microstrategy, Business Objects, Cognos, D3).
• Understanding of BI technologies and their practical application.
• Ability to thrive in a fast-paced, continually evolving team environment, along with proficiency in statistical software like Python and R.
• Genuine interest and aptitude in data, metrics, analysis, and trends, combined with applied knowledge of measurement, statistics, and program evaluation.
• Strong problem-solving skills and the capability to articulate product-related questions, extract data from extensive datasets (e.g., SQL, BigQuery, etc.), and employ statistical methods to arrive at informed conclusions.

About the Job:

At Google, data serves as the foundation for all our decision-making processes. Quantitative Analysts are integral to our organization, influencing Google's business and technical strategies by processing, analyzing, and interpreting vast datasets. Leveraging their analytical expertise and statistical methodologies, they unearth valuable insights, enhancing operational efficiency for Google and its clients. This entails improving advertising effectiveness, optimizing network infrastructure, and studying user behavior. As an analyst, you go beyond number-crunching. You collaborate with Engineers, Product Managers, Sales Associates, and Marketing teams, adapting Google's practices based on your discoveries. Identifying problems is only half the challenge; you're also responsible for devising solutions.

Responsibilities:

• Prioritize and effectively communicate user requirements, offering recommendations, and driving the implementation of product or process enhancements. Identifying and ranking primary challenges and critical business growth opportunities.
• Collaborate with leadership teams to introduce tracking and reporting of metrics across global programs. Handle extensive datasets, automate data extraction, construct monitoring/reporting dashboards, and create high-value, automated Business Intelligence solutions (data warehousing and visualization).
• Conduct extensive data analysis, employ statistical modeling, and inferential machine learning to pinpoint improvement opportunities and measure the impact of initiatives, ultimately driving significant enhancements based on results and feedback.
• Develop, design, and establish Key Performance Indicators to monitor the health of database assets and the performance of internal operations. Implement data models and analytics that serve as a foundation for strategic decision-making.

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