Data Scientist
R
Revenue AnalyticsTravel & Hospitality
Atlanta, GA (Open Remote - Eastern Time Zone), Eastern Time ZoneFull-TimeEntry
Salary95,000 - 110,000 USD per year
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Job Details
- Experience
- 0–2 years
- Required Skills
- PythonSQLArtificial IntelligenceMachine LearningData science
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.
- 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.
Responsibilities
- 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.
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