At a Glance
- Tasks: Enrich and normalise product data to enhance ecommerce initiatives and support machine learning.
- Company: Dynamic tech company focused on innovative ecommerce solutions.
- Benefits: Competitive hourly rate, flexible hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in the world of ecommerce.
- Qualifications: 2+ years in taxonomy development and strong analytical skills required.
- Other info: Exciting role with potential for career advancement in a fast-paced environment.
The predicted salary is between 25 - 45 £ per hour.
We are looking for a Taxonomist to support the ecommerce initiatives within the Catalog organization. The crux of this work involves enriching and normalizing product client data, like Brand, into our unified product taxonomy to facilitate machine learning and drive the development of Catalog initiatives. In addition to client data normalization, this role may also involve cross-taxonomy mapping, vertical expansion, front-end taxonomy design, and working closely with engineers to facilitate ML understanding through annotation and evaluating model output.
Job Responsibilities
- Detailed data analysis (Excel, Google Sheets or scripting languages) to identify identical and/or fuzzy matches across multiple vocabularies
- Research (both internal and external) to enrich node client data
- Status reporting on progress, questions, issues, or potential opportunity areas with partners and stakeholders
- Implementation based on taxonomy governance guidelines
Minimum Requirements
- 2+ years of experience in developing taxonomies/or ontologies to support a variety of systems both for front-end and back-end use.
- Experience in building taxonomies or experiences for ecommerce
- Experience researching and defining taxonomy client data based on existing standards
- Experience with a variety of topic/domain types
- Experience communicating and presenting taxonomy principles and standards
- Strong ownership and ability to self-start, build relationships with partners, and develop a point of view
- Strong ability to proactively communicate about projects and workstreams
- Strong affinity for detail-oriented taxonomy development work
Preferred Qualifications
- Master’s Degree in Library Science or Information Management
- Experience in analysing large volumes of data with SQL or other query languages
- Experience building taxonomies for machine learning classification systems
- Experience with prompt engineering and AI tools
Online Operations - Content Quality Reviewer employer: Career Moves
Contact Detail:
Career Moves Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Online Operations - Content Quality Reviewer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. We want to see you shine, so practice common questions and have your own ready to ask!
✨Tip Number 3
Showcase your skills with a portfolio or examples of your work. If you've got experience in taxonomy development or data analysis, flaunt it!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Online Operations - Content Quality Reviewer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Online Operations - Content Quality Reviewer role. Highlight your experience with taxonomies and data analysis, and don’t forget to mention any relevant tools you’ve used like Excel or SQL.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Be specific about your experience in ecommerce and taxonomy development.
Showcase Your Skills: In your application, be sure to showcase your skills in detailed data analysis and research. Mention any projects where you've enriched client data or worked on taxonomy governance guidelines to demonstrate your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us!
How to prepare for a job interview at Career Moves
✨Know Your Taxonomy Inside Out
Make sure you understand the principles of taxonomy and ontology development. Brush up on your knowledge about how taxonomies support ecommerce initiatives, as this will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Data Analysis Skills
Prepare to discuss your experience with data analysis tools like Excel or Google Sheets. Be ready to share specific examples of how you've identified matches across vocabularies or enriched client data in previous roles.
✨Communicate Clearly and Confidently
Practice articulating your thoughts on taxonomy principles and standards. Clear communication is key, so consider doing mock interviews with friends or colleagues to refine your presentation skills.
✨Demonstrate Your Problem-Solving Ability
Think of scenarios where you've faced challenges in taxonomy development or data analysis. Be prepared to discuss how you approached these issues, what solutions you implemented, and the outcomes of your efforts.