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Job Description
- Masters degree in Statistics or Economics, a related field, or equivalent practical experience.
- 6 years of experience as a statistician, computational biologist, bioinformatician, data scientist, or product analyst.
- Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference.
- Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods.
- Experience in selecting the right statistical tools given a data analysis problem.
- Experience articulating business questions and using mathematical techniques to arrive at an answer using available data.
- Experience translating analysis results into business recommendations.
- Experience in understanding potential outcomes framework and have familiarity with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
- Knowledge of structural econometric methods.
At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Googles business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Googles practices according to your findings. Identifying the problem is only half the job; you also figure out the solution.
In Google Search, were reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, youll have an opportunity to make an impact on billions of people globally.
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Responsibilities
- Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
- Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both products development and business activity.
- Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to google products.
- Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
- Research and develop analysis, forecasting, and optimization methods to improve the quality of Googles user-facing products.
Skills
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About Company
Google India Careers 2025
Google is a global technology leader best known for its search engine, cloud computing, advertising platforms, consumer hardware, and AI innovations. Founded in 1998 by Larry Page and Sergey Brin, and headquartered in Mountain View, California, Google entered the India market in 2004 and now operates major campuses in Bengaluru, Hyderabad, Gurugram, and Mumbai. In India, Google serves billions of users through products like Search, YouTube, Android, Google Cloud, and Google Pay, while also investing heavily in digital inclusion and AI‑driven innovation.
Business Model – Google operates as a multi‑segment technology company, generating revenue primarily from advertising (Google Ads, YouTube Ads), cloud services (Google Cloud Platform, Workspace), hardware sales (Pixel devices, Nest), and subscription products (YouTube Premium, Google One). In India, Google’s business model blends B2C scale with B2B enterprise solutions, enabling it to serve both individual users and large organisations. The company’s AI‑first strategy integrates machine learning and generative AI across all products, from Search to Workspace, to deliver personalised, efficient, and secure experiences.
Recent Wins & Recognition –
- In 2024, Google Cloud India deepened its strategic alliance with PwC India to deliver Generative AI solutions across industries, leveraging Vertex AI and Gemini models to transform enterprise operations. (https://www.pwc.in/press-releases/2024/google-cloud-pwc-india-enhance-strategic-alliance-transform-enterprise-solutions-generative-ai.html)
- Google announced a ₹1,000 crore investment in India’s AI ecosystem under the IndiaAI Mission, focusing on AI research, skilling, and start‑up incubation. (https://blog.google/intl/en-in/company-news/outreach-initiatives/google-ai-india-2024-investment/)
- YouTube India surpassed 600 million monthly active users, launching new AI‑powered creator tools to boost content quality and monetisation. (https://blog.youtube/press/)
- Google was recognised among the Top 3 Best Workplaces in India 2024 by Great Place to Work® Institute, highlighting its inclusive culture and employee well‑being programs. (https://www.greatplacetowork.in/best-workplaces-in-india-2024/)
Culture & Values – Google’s core values include focus on the user, innovation, integrity, and respect for the individual. The company fosters a collaborative, open, and inclusive work environment, encouraging employees to spend 20% of their time on passion projects. In India, Google actively supports digital literacy, women in tech, and sustainability initiatives, while offering flexible work models, world‑class learning resources, and global mobility opportunities.
Client‑Facing & Internal Domains – Google India
Search & Knowledge Products
What it is – Google’s core product family, including Google Search, Google Maps, Google News, and Google Lens. India‑based roles include:
- Search Quality & Ranking – Algorithm tuning, spam detection, and relevance optimisation.
- Geo & Maps Data – Mapping accuracy, local business integration, and navigation features.
- Knowledge Graph & AI – Semantic search, entity linking, and generative AI integration.
YouTube & Content Platforms
What it is – Google’s video and creator ecosystem, including YouTube, YouTube Music, and YouTube Shorts. India‑based roles include:
- Creator Partnerships – Onboarding and supporting content creators.
- Content Policy & Moderation – Ensuring compliance with community guidelines.
- Product Growth & Monetisation – Ad formats, subscriptions, and engagement tools.
Google Cloud Platform (GCP)
What it is – Enterprise cloud services for compute, storage, AI, and analytics. India‑based roles include:
- Cloud Solutions Architecture – Designing enterprise cloud deployments.
- Data & AI Engineering – Vertex AI, BigQuery, and ML pipelines.
- Customer Engineering – Pre‑sales technical consulting and onboarding.
Ads & Commerce
What it is – Google’s advertising and commerce products, including Google Ads, AdSense, Google Shopping, and Merchant Center. India‑based roles include:
- Campaign Optimisation – Performance marketing and bid strategy.
- Product Management – Ad formats, targeting, and measurement tools.
- Merchant Solutions – E‑commerce integrations and seller support.
Hardware & Devices
What it is – Consumer electronics like Pixel phones, Nest smart home devices, and Chromebooks. India‑based roles include:
- Hardware Engineering – Device design, testing, and localisation.
- Supply Chain & Ops – Vendor management and logistics.
- Retail & Channel Partnerships – Distribution and sales enablement.
Internal Functions
What it is – Corporate and enabling teams that support Google’s global operations. India‑based roles include:
- People Operations (HR) – Talent acquisition, L&D, and employee engagement.
- Finance & Legal – Compliance, contracts, and budgeting.
- IT & Security – Infrastructure, cybersecurity, and enterprise tools.
Important dates & deadlines?
Application Deadline
12 Apr 24, 02:06 PM IST
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