Data Scientist

Job not on LinkedIn

🕒 June 24

🇺🇸 United States – Remote

💵 $95k - $110k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Revenue Analytics, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

🏨 Hospitality

Consulting • Healthcare • Hospitality

Revenue Analytics, Inc. is a company that specializes in providing advanced pricing and revenue management solutions for various industries, including hospitality, manufacturing, distribution, private equity, media, and passenger rail. They are pioneers in the field of Revenue Management, helping businesses make profitable pricing decisions at scale with their next-generation software. Their products, such as N2Pricing™, Pricing-as-a-Service™, RateOptics™, and FareVantage™, are designed to tackle complex pricing challenges and improve revenue outcomes for their clients. Revenue Analytics is trusted by top businesses to deliver confidence and data for making strategic pricing decisions.

📋 Description

• Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality. • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability. • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data. • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality. • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into 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, working knowledge of SQL, and 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, with 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. • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis. • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.