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Data Scientist

13 hours, 8 minutes ago
United States
Full-time
Entry Level
Data Scientist
Data Science and Analytics
LLM Machine Learning Python SQL
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Revenue Analytics

Revenue Analytics

Revenue Analytics is a pioneer in Revenue Management software, offering solutions for pricing, stock management, and promotions to drive revenue growth for leading companies.

Media
51-200
Founded 2005
$11M raised
View All Jobs 2

Description

  • Build machine learning and AI solutions for hospitality pricing, forecasting, and revenue-management decisions.
  • Analyze large, messy datasets to identify patterns, risks, and opportunities.
  • Translate analytical findings into practical recommendations and product capabilities.
  • Write and operationalize Python and SQL workflows for data preparation, validation, and analysis.
  • Apply LLMs and AI coding tools, including Claude Code, to accelerate prototyping and development while maintaining technical quality.
  • Partner with product, engineering, science, and cross-functional stakeholders to turn business problems into analytical solutions.
  • Communicate insights, trade-offs, limitations, and recommendations clearly to stakeholders.

Requirements

  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on Python coding experience and working knowledge of SQL.
  • Familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems and select sensible analytical approaches.
  • Ability to clearly explain trade-offs, limitations, and recommendations.
  • Curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or analytics-driven business problems.
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical domains (preferred).
  • Experience building reusable or scalable data pipelines, internal tools, model workflows, or decision-support analyses (preferred).
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows (preferred).
  • Authorization to work without visa sponsorship.

Interested in this position?

Apply directly on the company website

Apply Now

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