Hiring: Data Classification Associate, Corporate Company: YipitData Location: United States Job Posted Time: 2026-09-03 10:43:13 Employment Type: Remote Target Skills & Keywords : Databricks, GitHub, LLM, PySpark, Python, Quality Assurance, SQL About the job Experience: •3-5 years of experience in data analytics, data operations, category mapping, or consulting •5 years of experience in data analytics, data operations, category mapping, or consulting •2+ years of experience working with SQL, Python, PySpark, or other programming languages to explore and transform large, complex datasets; Familiarity with GitHub and Databricks Required Skills: •As part of our continued growth, we are expanding the Data team within our Corporate practice and are excited to welcome a Data Classification Associate to help deliver the most accurate category insights to our Retail clients. •This is a fantastic opportunity for someone who thrives in ambiguity & rapid growth, enjoys helping clients get the most value from our data, able to communicate complex problems in simple terms to internal and external stakeholders. •This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. •However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. •We expect East Coast work hours. •Own category hierarchies end-to-end — Ramp up quickly to become the primary owner of high-impact category hierarchies, delivering best-in-class outputs with a focus on accuracy, client value, and efficiency •Build and refine product taxonomies — Construct new category hierarchies across retail product categories with high accuracy and reliability, covering large-scale datasets (millions of SKUs) •Become a true category expert — Develop deep knowledge of key products, franchises, brands, and how they should be classified, and build rules and methodologies rooted in domain expertise Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!