HCL Technologies is hiring a Bilingual Japanese Query Understanding Analyst for a position working onsite at Google in Larimer. The posting,
via Monster.com:
Bilingual Japanese Query Understanding Analyst is a full-time job through HCL America, Inc. onsite at Google Pittsburgh. You will work to enhance users’ online shopping experience by performing in-depth product research, analyzing the user query stream, and improving query classifier performance using highly technical internal tools and processes. It is part of a fast-paced environment, partnering closely with operations and engineering teams. Native or near-native Japanese reading/writing fluency is preferred and spending significant time living/working in the Japanese culture is a plus.
Responsibilities:
● Research product spaces to identify areas of improvement in query understanding.
● Generate training and evaluation data for the query classifier and query parser.
● Write short scripts to improve the performance of the query classifier and query parser.
● Analyze and fix gaps in query classifier performance.
● Evaluate attributes and fine grained concepts mined from the query stream.
● Develop deep expertise in the Google product taxonomy.
Requirements:
● Native and/or near native Japanese language reading/writing fluency
● A Bachelor’s degree preferred with a strong academic record. Master’s degree a plus.
● Strong computer and internet navigation skills and natural comfort with technology. Ability to learn technical processes quickly.
● Other attributes:
○ adaptable
○ organized
○ intellectual curiosity
○ excellent research skills
○ analytical and problem-solving skills
○ works well both independently and with teams
○ able to perform repetitive and detailed analytical work accurately and consistently
○ capable of delivering high-quality results on tight deadlines with minimum guidance
Additional skills but not required:
● Current cultural knowledge and/or working knowledge in the Japanese community is preferred.
● Scripting abilities, particularly Javascript, Google Apps Script, or SQL.
● Experience with online shopping.
● Background in linguistics or other field involving textual analysis
