
Job Overview
Location
US Remote
Job Type
Full-time
Category
Data Science
Date Posted
July 9, 2026
Full Job Description
đź“‹ Description
- • YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.
- • Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions.
- • 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 an excellent opportunity for a professional with 3-5 years of experience who is eager to deepen their data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at YipitData.
- • In this role, you will independently manage data quality at the item level end-to-end, resolve complex definitional & methodological issues in our hierarchies, improve category classification and product attribution, collaborate closely with cross-functional partners to ensure our data is accurate, reliable, and clearly understood, and help our clients understand our methodology and data limitations.
- • 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.
- • As a Data Classification Associate, You Will:
- • 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
- • Drive AI-enabled classification — Understand existing mapping solutions and transform them into scalable, AI-enabled approaches that improve speed and consistency
- • Design and run QA processes — Create and maintain comprehensive quality assurance processes that catch error patterns that LLMs and manual review miss
- • Investigate and resolve data quality issues — Independently diagnose and fix complex data quality problems, including definitional and methodological challenges in our hierarchies
- • Be the client-facing expert on category data — Serve as a trusted resource for internal and external stakeholders by understanding client needs and aligning them with our category definitions, methodological limitations, and coverage
- • Collaborate cross-functionally — Partner with Insights, Sector Data, Data Validation, and Engineering teams to align on best practices, develop technical solutions that streamline workflows, optimize data processes, and expand automation
- • Innovate and mentor — Proactively identify opportunities to improve efficiency, robustness, and data quality within your team’s workflows; create robust processes that challenge the status quo; and mentor peers by raising the quality bar through shared standards and best practices
🎯 Requirements
- • 3-5 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
- • A proven track record of quickly learning new concepts, particularly complex category definitions and client needs
- • The ability to clearly communicate complex concepts, both orally and in writing
- • A strong ownership mentality and enthusiasm about making a big impact at a rapidly growing company
- • The ability to manage multiple projects simultaneously, independently prioritize tasks, and make strategic decisions based on client needs
- • Enjoy mentoring peers and raising the quality bar through shared standards and best practices
🏖️ Benefits
- • Comprehensive benefits, perks, and a competitive salary
- • Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
- • The annual on-target earnings for this position is anticipated to be up to $130K annually.
- • This role may be performed fully remotely within the United States.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About YipitData, Inc.
YipitData provides alternative data and market research to institutional investors, corporations and consultancies. By aggregating and analyzing billions of data points from e-commerce receipts, web traffic, app usage, pricing and other digital signals, the company delivers granular, real-time insights on company performance and industry trends. Clients use the platform to validate investment theses, monitor competitive dynamics and forecast revenue across sectors including consumer, technology, travel and marketplaces. Founded in 2013 and headquartered in New York City, YipitData serves hedge funds, private equity firms and Fortune 500 corporate strategy teams worldwide.
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