Pricing Data Scientist (AI)

Location: Remote

Base salary: $185,000–$220,000 per year plus equity

Company

hirify.global is a product company for buying, selling, vaulting, and financing hirify.globalernative assets, starting with the trading-card market.

What you will do

• Identify new signals, including market sentiment and sports outcomes, and validate their predictive power through rigorous backtesting.
• Detect potential market manipulation and unusual activity to prevent distortion of valuations.
• Design cross-market pricing models for inefficient markets where the same card may be mispriced across marketplaces.
• Evaluate pricing models, select or blend them, and make release and routing decisions for new model versions.
• Set research priorities and collaborate with Expert Pricers, data scientists, and machine learning engineers.
• Explain price movements and help introduce new pricing tools and methods into production.

Requirements

• Production experience building pricing or forecasting models.
• Familiarity with tree-based models and newer approaches such as large language models, time-series foundation models, and graph neural networks.
• Depth in non-traditional or illiquid assets, such as collectibles, art, real estate, or hirify.globalernative credit.
• Experience combining multiple models or signals through portfolio construction, forecast combination, or ensemble methods.
• Experience with market prediction using hirify.globalernative data, including unstructured text and sentiment sources.
• Statistical rigor in experimental design, backtesting, and working with noisy or sparse data.
• Expert SQL and Python.
• Hands-on experience building AI tools such as agents or internal tools that others rely on.
• Clear communication and experience explaining complex work to non-technical audiences.

Nice to have

• Background in quantitative research or portfolio construction at an investment firm.
• Experience in statistical or cross-market arbitrage, sports betting or prediction-market pricing, credit or insurance underwriting, or marketplace pricing and trust and safety.

Culture & Benefits

• AI-native work environment focused on applying new models, tools, and techniques to pricing.
• Remote-first work with WeWork access.
• Medical, dental, and vision coverage, with HSA/FSA availability.
• Generous PTO, parental leave at full salary, and monthly wellness and home-office stipends.
• 401(k), equity for full-time employees, and DoorDash Pass membership.

Hiring process

• Recruiter screen, hiring manager interview, and an untimed take-home pricing case study.
• Case study presentation followed by a group interview, culture interview, executive review, and reference check.
• Applicants must download the hirify.global app, place a bid, and list a card before the first conversation.