Revenue Analytics
Data Scientist
$95K–$110K
Atlanta, GA (Open Remote - Eastern Time Zone) · Remote · Full-time · Posted Jan 30, 2025
- Experience
- 0–2 years in data science, analytics, machine learning, or a related field; internships, research, senior projects, and meaningful independent projects count.
- Education
- Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
- Visa sponsorship
- Visa sponsorship is not available for this role.
About the job
Build machine learning and AI capabilities for a hospitality analytics platform, supporting pricing, forecasting, and revenue management decisions.
What you'll do
- Develop machine learning and AI solutions for hospitality pricing, forecasting, and revenue management.
- Analyze large datasets and turn findings into practical recommendations or product capabilities; prepare, validate, and operationalize data.
- Partner with product, engineering, and other stakeholders to translate business problems into analytical solutions and communicate insights.
What they ask for
- Hands-on Python coding, working knowledge of SQL, and familiarity with data analysis and machine learning workflows.
- Ability to structure ambiguous problems, select analytical approaches, and explain trade-offs, limitations, and recommendations.
- Curiosity, ownership, and learning agility; interest in hospitality, travel, pricing, forecasting, or related business problems.
Nice to have
- Experience in revenue management, pricing, forecasting, segmentation, or related analytical areas.
- Experience building reusable or scalable tools, workflows, or analyses; familiarity with cloud platforms, business intelligence tools, or modern AI tooling.
Pay
USD 95,000–110,000 per year (base salary)
Tools
Python, SQL, LLMs, Claude Code
AI focus
Build AI and machine learning systems for hospitality pricing, forecasting, and revenue management; use LLMs and AI coding tools to accelerate prototyping, learning, and development.
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