Quantitative Scientist, Forecasting & Demand Planning (Collectibles)

Location: Santa Ana, California, United States. The role is associated with an onsite headquarters location, and candidates must be able to work legally in the United States.

Estimated salary: $187,400–$253,500 per year.

Company

hirify.global provides technology and value-added services for collectibles, including grading, authentication, vaulting, and sales across trading cards, coins, comics, games, tickets, and memorabilia.

What you will do

• Build quantitative models forecasting market dynamics, asset valuations, pricing trends, and demand across collectible categories.
• Use proprietary grading, authentication, search, and transaction data for feature engineering and model development.
• Deploy models with Engineering into production systems with monitoring, explainability, feedback loops, and drift detection.
• Validate valuation models through backtesting and experimentation, continuously improving performance with new data and methodologies.
• Generate insights for product, pricing, go-to-market, grading, authentication, and capacity-planning decisions.
• Define the Quantitative Sciences roadmap, research agenda, and technical standards while collaborating with Product, Engineering, Finance, and Operations.

Requirements

• 3–5 years of experience in quantitative finance, data science, machine learning, or a related field, including pricing, demand forecasting, or asset valuation.
• Hands-on experience building and validating supervised machine-learning models on real data and putting at least one model into production.
• Strong Python and SQL skills with experience using pandas, scikit-learn or similar tools, and large datasets.
• Knowledge of time-series forecasting, scenario analysis, asset pricing, and producing downside, base, and upside ranges.
• Experience with model reliability, monitoring, drift detection, clear communication, and taking loosely defined problems through to shipped results.
• Ability to work legally in the United States is validated through e-Verify.

Nice to have

• Experience in fintech or alternative/exotic asset valuation.
• Advanced degree in statistics, applied mathematics, computer science, physics, economics, operations research, or a similar quantitative discipline.
• Exposure to demand or capacity planning in an operations-heavy business.
• Personal interest in collectibles, trading cards, coins, or related hobbyist markets.

Culture & Benefits

• Join an early-stage Quantitative Sciences function and work directly with its leader.
• Medical, dental, and vision insurance for eligible full-time employees.
• 401(k) matching, paid vacation, and ten company-paid holidays.
• Employee discounts on select grading services.
• Flexible schedules and work-from-home opportunities are available for many teams.
• Company events, celebrations, and department outings.

Hiring process

• Video interviews require cameras to be on; some interview steps may take place by phone.
• Remote-role candidates may be asked to participate in an onsite interview during the final stages.