Would you like to work on one of the world's largest product taxonomies? Walmart Global Technology is looking for a Senior Taxonomist who has experience with classification, metadata models, & attribution.
The Senior Data Analyst - Taxonomy helps to curate the classification hierarchy and attribution, gives feedback on machine learning models, and works with external stakeholders to ensure the integrity of data structures.
We are looking for someone who has a background in taxonomy- especially product taxonomies- and has a good understanding of linguistic principles. You should be able to create metadata for both soccer cleats and boat cleats; bed sheets and dryer sheets and explain to external stakeholders the reasons for your decisions. You should understand how classification is affected by differences within one language and between others.
Working on a catalog of hundreds of millions of items requires that you understand how to scale up processes without sacrificing quality. Working at a large company requires diplomacy and flexibility. Working in taxonomy requires being able to look at items from multiple points of view.
There is no specific requirement for a number of years of work experience, but mastery of taxonomy and metadata best practices is mandatory.
Intermediate to expert level of Microsoft Excel, and ability to ramp up quickly on unique software.
Work experience that has risen to the level of leading independent projects.
Mastery of taking different concepts and breaking them down into schemas fit to purpose.
Ability to make independent decisions and represent taxonomy as a whole to external groups.
Ability to work with people from different backgrounds, ages, and life experiences.
A degree in Library and Information Science is a plus, but not required.
Experience with product taxonomy a plus.
Fluency in multiple languages is a plus.
Deep knowledge of any retail assortment is a plus.
A sense of humor helps tremendously.
Benefits & Perks
At Walmart, we offer competitive pay as well as performance-based incentive
awards and other great benefits for a happier mind, body and wallet. Health benefits include medical, vision and dental coverage.
Financial benefits include 401(K), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
Other benefits include short-term and long-term disability, education assistance with college degrees for $1 a day, company discounts, military service pay, adoption expense reimbursement, and more.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits or eligibility. see One.Walmart.com/Health.
The annual salary range for this position is $120,000.00 to $180,000.00
Additional compensation includes annual or quarterly performance incentives.
Additional compensation for certain positions may also include:
Regional Pay Zone(RPZ) (based on location)
Stock equity incentives
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.
Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.
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Project Management, Technology taxonomy, structure data, online search technology, insights research or related field
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