Ontology Linguist, Japanese Speaking

About DoubleVerify DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital ecosystem, helping to build a better industry. Learn more at www.doubleverify.com . Position Overview DoubleVerify uses an automatic classification engine to classify millions of webpages per day and to ensure that advertisers are able to place their ads only next to content that matches their brand suitability preferences, and avoid questionable content. This role is critical in supporting and enabling the automatic classification engine, as you would develop a multilingual ontology used for automatic text classification. This is done by finding key expressions and contextual conditions to enable the automatic classification system to recognize topics in texts. Additionally, you would be responsible for improving the mapping of these ontology topics to classifications by developing mapping conditions. In doing the work, you would use statistical metrics to improve overall accuracy. This role doesn’t provide support for relocation or the work permit process and this will be a hybrid position with 1-2 days per week in the office. Essential Skills Fluency in English (both spoken and written) Japanese language skills (Fluent or Professional level) Effective teamwork and communication skills Attention to detail Critical thinking and problem solving skills Ability to prioritize and organize workload Computer literacy Preferred Skills Ability to use statistics in decision making Relevant education, such as linguistics, languages, or language technology Nice to have but not required Prior knowledge of ontologies Understanding of regular expressions Knowledge of git version control system Not-so-fun fact:   Research  shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!