Data Scientist, Legal
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.
Data Scientist, Legal Responsibilities
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 Qualifications
3+ 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 Qualifications
MBA or Masters in a technical discipline
PHP experience
Experience working with non-technical partners