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We are looking for a Data Scientist to join our eDiscovery & Information Governance Legal team. You will enjoy working with some of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real world impact. The perfect candidate will have a background in a quantitative or technical field, a perfectionist mentality, and will display clear communication skills. You are focused on accuracy, a self-starter, and have demonstrated success in analysing datasets to power and influence business decisions.This is a full time in office role based in Singapore
Data Scientist, eDiscovery and Information Governance Responsibilities:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Data Scientist, eDiscovery and Information Governance Responsibilities:
- Collaborate with a variety of technical and non-technical stakeholders (including engineers, data scientists, and attorneys) to understand and identify data needs, understand business problems and design analytical solutions
- Design and communicate analytics solutions to help drive understanding across some of the largest data sets in the world
- Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
- Identify opportunities for process improvements and build tools that enable other teams to automate tasks
- 3+ years of work experience in data or quantitative field
- Experience with SQL and at least one programming language (e.g., Python, C, R.)
- Experience initiating and driving projects to completion with minimal guidance
- Experience working cross-functionally and communicating technical content to general audiences
- Experience with Unix/Linux
- Experience with distributed computing (Hive/Hadoop)
- Experience with Machine Learning to automate tasks, identify patterns, make predictions
- PHP experience
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Key Skills
Ranked by relevance
distributed computing
machine learning
python
sql
2d
c
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- Posted
- Jul 30, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Singapore
- Company
- Meta
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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