Table of Contents
Trust and Safety team members play a pivotal role in addressing significant challenges that threaten the safety and integrity of Google’s products. Leveraging technical expertise, strong problem-solving skills, user insights, and proactive communication, the team is dedicated to safeguarding users and partners from abuse across various Google products, including Search, Maps, Gmail, and Google Ads. Team members, functioning as big-picture thinkers and strategic team players, collaborate globally and cross-functionally with Google engineers and product managers. Their mission involves the identification and swift resolution of abuse and fraud cases, demonstrating a sense of urgency. Their collective efforts contribute to fostering trust in Google and ensuring the highest levels of user safety on a daily basis.
AI Data scientist Job Description
| Company | |
| Industry | IT |
| Job Title | AI Safety Data Scientist |
| Qualification | IT Graduates |
| Experience | 3 Year |
| Location | Hyderabad / Bangalore |
AI Data scientist Responsibilities
- Design scalable safety solutions for Google’s AI products, utilizing advanced machine learning and AI techniques.
- Apply state-of-the-art statistical and data science methods to analyze and enhance Google’s security measures.
- Conduct in-depth analyses to identify improvement opportunities, providing actionable insights for ongoing security reinforcement.
- Drive business outcomes by effectively communicating data-driven narratives to diverse stakeholders.
- Create automated data pipelines and user-friendly dashboards for efficient and widespread access to timely insights.
AI Data scientist Basic Qualification
- Hold a bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Operations Research, or possess equivalent practical experience.
- Bring 3 years of experience in a data analysis or data science setting.
- Demonstrate proficiency in programming languages like Python, R, or Julia, as well as database languages, including SQL.
Preferred Qualification
- Possess a Master’s degree or PhD in a quantitative discipline such as Computer Science, Statistics, Mathematics, or Operations Research.
- Bring expertise in abuse and fraud disciplines, specializing in web security, harmful content moderation, and threat analysis.
- Demonstrate proficiency in scripting languages, including C/C++, Python, or Java.
- Showcase the ability to derive actionable insights for driving business impact.
- Proficiently apply machine learning techniques to analyze large datasets.
About Company
Google, founded in 1998 by Larry Page and Sergey Brin, has emerged as a global technology powerhouse and a leader in internet-related services and products. Renowned for its search engine, Google has expanded its offerings to encompass a wide array of services, including online advertising technologies, cloud computing, software, and hardware. With a mission to organize the world’s information and make it universally accessible and useful, Google has played a transformative role in shaping the digital landscape. The company’s commitment to innovation is evident in ventures such as Google Maps, Gmail, Android, and YouTube.
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