Job Description
- Masters degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
- 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 4 years of experience using SQL to extract and manage quantitative data over distributed databases.
- 7 years of experience in data analysis, data science, or a related quantitative role in Trust and Safety, abuse detection, content moderation, or large-scale operations.
- 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Expertise in statistical sampling theory, clustered experimental design (e.g., Intra-Cluster Correlation/Design Effect), variance estimation, and confidence interval modeling.
- Proficiency in SQL for complex data extraction, transformation, and query optimization.
- Advanced proficiency in a programming language commonly used in data analysis, such as Python or R (e.g., Pandas, NumPy, Statsmodels, Scikit-Learn).
Fast-paced, dynamic, and proactive, YouTubes Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves. Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.
The Trust and Safety Analytics team operates in a high-stakes, dynamic environment, providing comprehensive analytics for content policy enforcements that rely on complex tooling, scaled machine learning, and hybrid human-Artificial Intelligence (AI) review systems. We manage a rigorous cadence of executive reporting, where frequent and significant policy and automation changes directly impact safety metrics, enforcement precision, root cause analyses, and core user experience metrics (such as creator appeals and reinstatements). As the platform accelerates automated enforcement and AI-assisted review, this role is critical in navigating increasing complexity, assessing quality-vs-cost tradeoffs across extended workforces, designing advanced operational experiments, and driving strategic decision-making across detection pipelines and global operations.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.
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- Own, maintain, and advance statistical methodologies and sampling frameworks for system-level enforcement quality and machine learning precision monitoring across 200+ production classifiers, ensuring high-confidence measurement.
- Lead the quantitative analytics and data science strategy for automated content moderation, designing post-launch impact assessment frameworks and launch readiness criteria for automated policy defense systems.
- Design and execute large-scale, statistical experiments to evaluate human decision-making under varying operational conditions, modeling rater behavior to optimize review queue architecture and workforce routing.
- Formulate and execute rigorous multivariate Root Cause Analysis (RCA) and causal inference frameworks to resolve complex operational anomalies, isolating key drivers of efficiency and steering executive decision-making with empirical data.
- Partner with Software Engineering, Data Science, Product Management, and Global Operations teams to deploy scalable metrics infrastructure, validate technical solutions, and influence product and policy roadmaps.
Skills
Artificial IntelligencePythonData AnalysisData ScienceData ExtractionMachine LearningRoot Cause AnalysisQuantitative AnalyticsAnalyticsAiSqlScikit-learnNumpyPandasData ScientistIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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
06 Nov 26, 05:43 PM IST
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Business Data Scientist, YouTube Trust And Safety
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