Data Scientist

Revenueanalytics; Atlanta (GA); On-site; USD 70,000 - 90,000; Full time

Job summary

Revenue Analytics is seeking a motivated Data Scientist in Atlanta, GA, to develop machine learning and AI solutions that influence pricing and revenue management in the hospitality sector. In this dynamic role, you will analyze complex datasets, engage in cross-functional partnerships, and deliver data-driven insights.

The ideal candidate will have a background in data science or a related field and is comfortable coding in Python and SQL. If you are eager to have a real impact on product capabilities, this role offers a unique opportunity to contribute to a growth-stage company.

Qualifications

• 0–2 years of experience in data science or related field.
• Hands-on coding experience in Python and working knowledge of SQL.
• Strong curiosity and ownership with interest in hospitality and analytics.

Responsibilities

• Build machine learning and AI solutions for pricing and revenue management.
• Analyze large datasets to identify patterns and opportunities.
• Partner with cross-functional stakeholders to translate business problems into analytical solutions.

Skills

Python

SQL

Machine Learning

Data Analysis

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.

Visa sponsorship is not available for this role. Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.