JOB POST: Content Analyst & Knowledge Engineer at Yahoo, Bengaluru: Apply Now

Applications are invited for Content Analyst & Knowledge Engineer at Yahoo, Bengaluru for the year 2022. Online applications are open on the official website.

About

Yahoo is a leading provider of media and technology brands, reaching over a billion people around the world. A global leader in digital and mobile, Yahoo is shaping the future of media.

Job Description

Yahoo is looking for a creative, smart, and versatile generalist with editorial skills to participate on a variety of projects including handling data feeds, building taxonomies, classifying online content, analyzing search behavior, extracting data, and assisting with a variety of other overarching tasks. You should have a fascination with the Internet and online culture, you’ll be spending all day with it!

Eligibility

• BA required. Preferred fields: Linguistics,  Journalism, Computer Science, Library Information Science, Information Management, or other related fields.
• One+ years of related working experience.
• Attention to detail, flexibility, organizational skills, an abundance of common sense, and strong communication, writing, and decision-making skills.
• Comfortable with smartphones and apps. Understanding of the challenges facing desktop vs mobile search. Ability to work with engineering including technical aptitude.
• Solid understanding of taxonomy/category structures and content classification.
• Ability to collect, analyze, and interpret search data; ability to build lists of keywords to trigger specialized content, including common misspellings and synonyms.
• Fluency in English. Competency in another foreign language is a big plus but not necessary

Responsibilities

• Mapping data to schemas.
• Collaborating with team members in meeting project objectives.
• Making product feature improvements based on your analysis of the workflow, tools, competitive landscape, and user climate.
• Effectively communicating ongoing product changes and escalating issues with the appropriate members of the product team.
• Classifying diverse unstructured data and communicating analyses of users’ wants and needs.
• Developing new concepts, methods and techniques.
• Curating and featuring content using data and journalistic standards. Figuring out how to scale content choices for large audiences.
• Partnering with engineering and science in the development of machine learning algorithms for ranking, classification, natural language processing, deep learning, and other areas requiring labeled data for training models.

Click here to apply for Content Analyst & Knowledge Engineer at Yahoo.

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