Data Scientist

Revenue Analytics; Atlanta (GA); Hybrid; USD 95,000 - 110,000; Full time

Job summary

Revenue Analytics, based in Atlanta, GA, is seeking a Data Scientist to help develop machine learning and AI solutions for revenue management in the hospitality sector. You will analyze complex datasets to derive actionable insights and work closely with cross-functional teams to influence product strategy.

This position offers a unique opportunity to contribute to a growth-focused company while advancing your skills in a fast-paced environment. A salary of $95,000 - $110,000 per year is offered for this role.

Qualifications

• 0–2 years of experience in data science or related field.
• Hands-on coding experience in Python and knowledge of SQL.
• Curiosity and learning agility with interest in hospitality and analytics.

Responsibilities

• Build machine learning and AI solutions for pricing and revenue management.
• Analyze datasets to identify patterns and provide recommendations.
• Work with data pipelines and analytical workflows.
• Collaborate with cross-functional teams to solve business problems.

Skills

Python

SQL

Data analysis

Machine learning

Analytical problem solving

Education

Bachelor’s or Master’s degree in quantitative field

Tools

Cloud platforms

Business intelligence tools

Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:

• 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.

What You Will Bring:

• 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.

Preferred Qualifications:

• 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.

$95,000 - $110,000 a year