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Data Scientist

1 hour, 2 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
51-250
Founded 2005
$11M raised
View All Jobs 2

Description

  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large and messy datasets to identify patterns, risks, and opportunities.
  • Turn analytical findings into practical recommendations and reusable product capabilities.
  • Write clean Python and SQL to prepare, validate, and operationalize data.
  • Work with data pipelines and analytical workflows to support modeling and analysis.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, to accelerate prototyping and development.
  • Partner closely with product, engineering, science, and other stakeholders on ambiguous business problems.
  • Translate business questions into rigorous analytical solutions and communicate insights clearly.

Requirements

  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python and working knowledge of SQL.
  • Familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility.
  • Interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces (preferred).
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis (preferred).
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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