Staff Data Scientist (Pricing)

TL;DR

Staff Data Scientist (Pricing): Architecting and building enterprise-grade ML models and strategic pricing algorithms for a travel and fintech platform with an accent on analyzing large-scale pricing datasets and integrating robust statistical ML methods. Focus on balancing model sophistication with interpretability, performing advanced analytics like A/B testing, and driving business impact through pricing strategy.

Location: Remote (USA)

Salary: $144,500–$247,600 USD

Company

hirify.global is a fast-growing travel and fintech platform transforming business travel by bringing together corporate travel, a powerful charge card, and modern spend management.

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.
• Collaborate cross-functionally with hirify.globalers, analysts, and business teams to uncover pricing opportunities.
• Perform exploratory data analysis and communicate clear, actionable insights to leadership and stakeholders.

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, especially with large, complex datasets.
• Strong proficiency in SQL and Python.
• Advanced analytics experience, including experimental design, A/B testing, and causal inference methods.
• Master’s degree in a quantitative field is highly desired.
• Ability to communicate insights clearly to technical and non-technical audiences.

Nice to have

• Experience with Snowflake or Streamlit.
• PhD in a quantitative field.

Culture & Benefits

• Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity.
• Perks and benefits may vary based on employment type and location.
• Hybrid-hub model accommodating both office and fully remote environments for success.
• Opportunity to play a vital role in an environment where innovation meets collaboration.