Staff Data Scientist (Pricing)

TL;DR

Staff Data Scientist (AI): Architecting and building core pricing intelligence systems and enterprise-grade ML models with an accent on statistical ML methods, advanced analytics, and experimental design. Focus on developing strategic pricing algorithms and driving business impact by communicating clear, actionable insights to stakeholders.

Location: Remote (USA)

Salary: $144,500 - $247,600 USD

Company

hirify.global is transforming business travel by building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place.

What you will do

• Analyze large-scale pricing datasets to identify trends and benchmark comparable properties across regions.
• Architect core pricing intelligence systems using robust statistical ML methods.
• Build enterprise-grade ML models that balance sophistication with interpretability.
• Develop strategic pricing algorithms combining proven statistical methods with modern ML hirify.globalering.
• Perform advanced analytics, including experimental design, A/B testing, and causal inference methods.
• Collaborate cross-functionally with hirify.globalers, analysts, and business teams to uncover pricing opportunities and drive business impact.

Requirements

• 7+ years of hands-on experience in Data Science or ML hirify.globalering, ideally in pricing, revenue optimization, or similar high-impact domains.
• Strong machine learning and statistical modeling skills, adept at working with large, complex datasets.
• Strong proficiency in SQL and Python.
• Master’s degree in a quantitative field is highly desired.
• Ability to thrive in fast-paced environments and communicate insights clearly to technical and non-technical audiences.

Nice to have

• Experience with agnostic tech stacks.
• Experience with Snowflake or Streamlit.
• A PhD in a quantitative field.

Culture & Benefits

• Competitive base pay, with opportunities for bonuses, commissions, and equity.
• Comprehensive benefits package.
• Hybrid-hub model offering both office and fully remote environments for success.
• Join a mission-driven team redefining how businesses manage and experience travel.