Data Scientist, Legal


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Job Summary

$8,563 - $17,125 SGD / Monthly EST

Job Type

Mid (3-5 yrs)
Junior (≤ 2 yrs)

Years of Experience
At least 2 years

Tech Stacks

Job Description

We are looking for a Data Scientist to work on our eDiscovery & Information Governance Legal team. You will enjoy working with one 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 have excellent communication skills. You are focused on accuracy, a self-starter, and have demonstrated success in using analytics to drive understanding and to influence business decisions. This position is based full time in our Singapore office.


  • Work cross-functionally to design and implement datasets for ongoing regulatory compliance
  • Collect data from products across the company (Search, messages, Instagram, ads etc.) for use in legal matters
  • Automate analyses and author pipelines via SQL and Python based ETL framework
  • Build dashboards to bring your pipelines to life for non-technical partners
  • Stay up to date on new structured data sources within the company as they are developed and help non-technical partners understand the use and content of these sources
  • Create and maintain internal documentation on pipelines, tools, data sets
  • This is a highly collaborative and cross-functional role:
  • Partner with privacy and data science teams to develop and support analysis
  • Partner with infrastructure and data engineers to manage large data sets effectively
  • Partner with lawyers across the Legal Department to understand their data needs
  • Partner with economic consultants to develop product and financial models
Minimum Qualification

  • 2+ years experience doing quantitative analysis
  • Bachelors Degree in a quantitative or technical field
  • SQL, Excel, and data analysis experience
  • Python/R scripting experience
  • Experience with distributed computing (Hive/Hadoop)
  • Experience with Unix/Linux
  • Experience initiating and driving projects to completion with minimal guidance
  • Experience working cross-functionally and communicating technical content to general audiences

Preferred Qualification

  • MBA or Masters in a technical discipline
  • PHP experience
  • Experience working with non-technical partners

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