Pricing Data Scientist

Job not on LinkedIn

🕒 August 18

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EZCORP

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🛒 Retail

👥 B2C

Retail • B2C

EZCORP is a leading provider of pawn loans in the United States and Latin America, formed with 16 pawn stores in 1989. The company specializes in satisfying short-term cash needs for consumers who are cash and credit constrained, offering non-recourse pawn loans collateralized by personal property. In addition to financial services, EZCORP operates retail stores selling primarily pre-owned merchandise in a customer-focused environment. Headquartered in Austin, Texas, EZCORP is dedicated to diversity, inclusion, and the professional development of its team members.

📋 Description

• Lead the design, development, and deployment of AI-driven pricing models across retail, DIP (buy/loan), and Historic Pricing methods • Build data acquisition and curation pipelines for pricing-model training and validation data • Build specialized pricing models for luxury purses and handbags, electronics, and tools • Apply Gen AI and LLM-based techniques to product matching, aliasing, and Master Data Management cleanup • Integrate external and competitive price data into pricing models • Design and operationalize pricing experimentation infrastructure, including pilots, A/B tests, monitoring, and trigger logic • Automate pricing pipelines with Data Engineering, replacing manual processes with scalable, monitored, AI-assisted systems • Define optimized pricing methods and parameters by category and monitor performance across margin, sales velocity, inventory turns, penetration, acceptance, and average price • Partner with the Pricing Product Manager on pricing strategy • Perform root cause analysis on pricing anomalies with Pricing Analysts and classify data, aliasing, MDM, and methodology issues • Conduct descriptive, predictive, and prescriptive pricing analytics with rigor, testing, and documentation • Oversee research into pricing algorithms, AI frameworks, and data architectures • Ensure pricing models and data science practices meet scientific, ethical, and engineering standards • Communicate pricing model results, delivery options, and business impact to business and executive stakeholders • Collaborate with executives to guide data-driven pricing decisions and AI adoption • Manage ad hoc requests and projects • Mentor and coach data scientists and pricing analysts and set standards for modeling, experimentation, and peer review

🎯 Requirements

• Bachelor's or higher level degree in computer science or a related field • 15+ years of professional software development experience • 5+ years of experience in data science, analytics, or machine learning roles • Hands-on experience building pricing, demand, or revenue optimization models • 5+ years of experience in pricing data collection and/or product data collection • Proven experience leading large-scale data acquisition or ML projects end-to-end, from research through production deployment • Experience applying Gen AI and LLMs to production use cases strongly preferred • Experience with pricing experimentation — A/B testing, pilot design, and causal inference — strongly preferred • Retail, e-commerce, resale, or secondhand-goods pricing experience a plus

🏖️ Benefits

• Competitive compensation and benefits • Competitive pay • Generous bonus potential from day one • Development and career paths to enhance skills • Equal access to employment opportunities, programs, and services • Belonging and development-focused environment • Fun and fast-paced work environment