Taxanomy Analyst
Diemen, Diemermere [TTG-0099], Netherlands
Randstad
Randstad is the global leader in the HR services industry. By combining our passion for people with the power of today’s intelligent machines, we support people and organizations in realizing their true potential. Learn more about our company.Hay grade:16
Are you our new colleague? We’re looking for a Taxanomy Analyst
We are seeking an experienced Taxonomy Analyst for the development and maintenance of the Global Taxonomy data products and services.
This is a taxonomy focused data analyst role with knowledge of labour market concepts, and fluency in 2 major languages (i.e. English and Spanish).
The global taxonomy product family is a growing set of labour market related concepts that have a crucial role as a ‘lingua franca’ for the Randstad family, most importantly for the X-One programs. It includes a wealth of information on jobs and occupations, skills, certificates, locations and education.
We have taxonomies in place for various languages and locales, e.g. en-US, en-UK, nl-NL, nl-BE, fr-BE, it-IT, de-CH and sv-SE.
Future additions will be pt-PT, pt-BR, es-ES, es-MX, pl-PL, de-DE, fr-CA, and possibly more.
Our taxonomies are created by a mix of human expertise and high-end AI technology.
The human expertise is anchored in the global program team, where this analyst profile has an essential role in supporting the Lead Knowledge Engineer / Implementation Manager in the curation of high-quality data assets from the Randstad countries. Technically, the taxonomy products use machine learning-based large language models to provide semantic-based capabilities such as career guidance, labour market analytics, and job and candidate search and match.
Essential functions:
The ideal candidate will successfully enhance, test, and maintain occupation and skills taxonomies and ontologies, and assist with other areas of the development process, specifically:
identify and assess existing occupational, skills/certificates and education taxonomies and services to be incorporated and augmented
assess data sources content qualitatively
annotate corpora to provide qualitative data to Data Scientists to train ML models
proactively identify and develop concepts and terms for new industries or functional areas based on:
data from in-house text analysis tools
supporting research of secondary source materials
consultation with Subject Matter Experts
refine and improve existing definitions in our taxonomies
work closely with end-users and the global team to troubleshoot, verify, document, and fix reported matching problems and requests
assess APIs output (job title ⇒ occupation; similar occupations; occupation ⇔ skills; skills ⇔ skills; certificates)
find the optimal taxonomy values based on keyword research in Google Ads per website language to enrich the taxonomy data with SEO-friendly values
work with our engineering team to assist with the development and implementation of job-related products and services
Qualifications:
Educational background:
minimum BA/BS and well-rounded education
must be fluent in English and Spanish, and have a good understanding of the local labour market
familiarity with linguistics, natural language processing, text/information retrieval, taxonomies, information sciences, or formal logic all highly useful
Relevant skills and experience:
strong language skills: English fluency and excellent understanding of the Spanish language syntax, morphology, orthography, and discourse patterns
familiarity with the job marketplace (2/3 years of experience as a data analyst or a recruiter)
ability and interest in understanding, analyzing and organizing information in fields outside their current areas of expertise
independent research experience
strong logical, analytical abilities with a high level of common sense
very well organized, with excellent follow-through
self-motivated, energetic, excellent attention to detail, fast learner
commitment to meeting deadlines
what’s in it for you
We put people at the heart of everything we do. Our employment conditions reflect this and are in accordance with the applicable (local) Randstad employment policies and related personnel guide.
We want our teams and talent to reflect the rich diversity of the societies we serve. We thrive for an environment of belonging, safety and confidence. So everyone can bring their whole selves to work and flourish. Learn more about equity, diversity, inclusion and belonging at randstad here.
If you recognize yourself in the profile above, we invite you to apply for this role. For more information you can reach out to our recruitment business partner: becky.suckling@randstadsourceright.co.uk
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Engineering Linguistics LLMs Machine Learning ML models NLP Research
Perks/benefits: Career development
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