Data Scientist (Hospitality)

TL;DR

Data Scientist (Hospitality): Building machine learning and AI systems to power a hospitality analytics platform with an accent on pricing, forecasting, and revenue management. Focus on turning ambiguous business questions into rigorous analytical solutions and operationalizing data pipelines.

Location: Remote (US - Eastern Time Zone)

Company

hirify.global is a SaaS company that helps businesses optimize pricing, products, and promotions to drive measurable revenue uplift.

What you will do

• Build ML and AI solutions supporting pricing, forecasting, and revenue management decisions in hospitality.
• Analyze large, messy datasets to identify patterns and risks, converting them into practical product capabilities.
• Write clean Python and SQL code to prepare, validate, and operationalize analytical workflows and data pipelines.
• Apply modern AI techniques, including LLMs, to accelerate prototyping and development.
• Partner with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions.

Requirements

• 0–2 years of experience in data science, ML, or analytics (including internships or research).
• Bachelor’s or Master’s degree in statistics, mathematics, computer science, engineering, or a related quantitative field.
• Hands-on coding experience in Python and working knowledge of SQL.
• Ability to structure ambiguous problems and communicate technical trade-offs and recommendations clearly.
• Must be based in the Eastern Time Zone.

Nice to have

• Experience with revenue management, pricing, forecasting, or segmentation.
• Experience building scalable data pipelines, internal tools, or model workflows.
• Familiarity with cloud platforms and business intelligence (BI) tools.