--- title: 'Data Scientist at Revenue Analytics' canonical: 'https://feeny.ai/job/data-scientist-revenue-analytics-atlanta-20v0msfe03e6' type: 'job' last_seen: '2026-09-12' --- # Data Scientist at Revenue Analytics - **Company:** Revenue Analytics - **Location:** Atlanta, GA - **Compensation:** $95k–$110k - **Employment:** full-time - **Work type:** remote - **Posted:** 2025-01-30 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.lever.co/revenueanalytics/d1d069f6-be13-431b-94c9-626f5bed83c6 ## 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. ## Who We Are A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn. 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. ## About Revenue Analytics ## Company Overview - **One-liner**: Revenue Analytics provides AI-powered revenue management, pricing optimization, and analytics software for hospitality, media, manufacturing, distribution, and passenger rail industries. - **Entity Type**: Private (venture/growth-backed; not publicly traded) - **Headquarters**: Atlanta, Georgia, United States (100 Galleria Parkway, Suite 900) - **Founded**: 2005 per [LinkedIn](https://www.linkedin.com/company/revenue-analytics-inc-) and [CB Insights](https://www.cbinsights.com/company/revenue-analytics); however, company materials describe a heritage dating to 1984, with the launch of the first hotel yield management system for Marriott. These are conflicting reports. - **Founders**: Robert G. Cross (chairman and co-founder) is the named founder; he invented yield management while working at Delta. Other founders are not listed in public sources. [revenueanalytics.com](https://www.revenueanalytics.com/about/) ## Core Business - **Primary industries**: Hospitality, media, passenger rail, manufacturing, distribution, and private equity portfolio operations. - **Target customers**: B2B, primarily enterprise organizations including global hotel brands, media companies, rail operators, manufacturers, distributors, and investment firms. - **Mission/purpose statement**: "We turn pricing and revenue management into a competitive edge by simplifying what’s complex and accelerating what matters." [revenueanalytics.com](https://www.revenueanalytics.com/about/) ## Products & Services - **N2Pricing™**: First modern SaaS revenue management system (RMS) for hotels, with forecasting, pricing, and inventory optimization. - **FareVantage™**: Dynamic pricing platform for passenger rail. - **RateOptics™**: Modern ad pricing and sales analytics for media, used by more than a thousand radio stations and broadcast TV stations. - **Pricing-as-a-Service**: Continuous optimization engine for manufacturers, distributors, and private equity portfolio companies. - **Cloud/AWS platform**: API-backed, user-centric SaaS foundation built on AWS for agile product delivery. - **Climber RMS**: Acquired 2025 solution for boutique, independent, and regional hotel chains in Europe, the Americas, and Brazil. [revenueanalytics.com](https://www.revenueanalytics.com/about/) ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company). - **Key Metric**: Total funding of $11M, with a Series A led by Noro-Moseley Partners (2019) and a later venture round led by Lead Edge Capital (2022). [cbinsights.com](https://www.cbinsights.com/company/revenue-analytics) - **Annual revenue**: LinkedIn estimates $30M in annual revenue. [linkedin.com](https://www.linkedin.com/company/revenue-analytics-inc-) - **Notable Investors/Partners**: Lead Edge Capital (strategic growth investment), Noro-Moseley Partners, and historical partners/customers include Marriott, IHG, and Starwood. [revenueanalytics.com](https://www.revenueanalytics.com/about/) - **Growth Signals**: - Acquired Climber RMS in 2025 to expand global hospitality footprint, especially in Portugal, Europe, and Brazil. [revenueanalytics.com](https://www.revenueanalytics.com/about/) - Extended Pricing-as-a-Service to leading private equity firms and portfolio companies. - Workforce distributed across 5 countries including the US, Brazil, Spain, Germany, and Ireland. [linkedin.com](https://www.linkedin.com/company/revenue-analytics-inc-) ## Competitive Advantages - **Pioneering heritage**: Co-founder Robert G. Cross invented yield management at Delta, and the company launched the first hotel yield management system with Marriott. [revenueanalytics.com](https://www.revenueanalytics.com/about/) - **Deep domain expertise**: 40+ years of focused innovation in pricing and revenue management across multiple verticals. - **Award-caliber analytics**: Built IHG's first price optimization capability, which was a finalist for the Franz Edelman prize. - **SaaS modernization**: Cloud-native, API-backed, AI-powered products built on AWS. - **Vertical-specific products**: N2Pricing for hotels, FareVantage for rail, RateOptics for media, and continuous optimization for manufacturing/distribution. ## Strategic Focus - Scaling its rapidly expanding SaaS business after the Lead Edge Capital investment. - Expanding global hospitality presence through acquisitions like Climber RMS. - Growing Pricing-as-a-Service for private equity firms and their portfolio companies. - Continuing investment in AI/ML capabilities for revenue management and pricing optimization. [revenueanalytics.com](https://www.revenueanalytics.com/about/) ## Why Work Here - **Remote-first**: Atlanta roots but team members around the world; open to remote roles, including roles in Atlanta, GA, open to remote within Eastern Time Zone. [revenueanalytics.com](https://www.revenueanalytics.com/careers/) | [jobs.lever.co](https://jobs.lever.co/revenueanalytics) - **Benefits**: 100% paid healthcare (medical, dental, vision) for employees and family, open PTO, 9 paid holidays, paid parental leave, gym reimbursements, phone allowances, and a confidential Employee Assistance Program (EAP). [revenueanalytics.com](https://www.revenueanalytics.com/careers/) - **Culture**: Casual, flexible, and results-focused with an emphasis on curiosity, solving complex challenges, and supporting growth. - **Engineering culture**: Engineers own end-to-end delivery, partner with product/science/engineering, set technical direction, and mentor other engineers; AI tooling is part of daily work. [jobs.lever.co](https://jobs.lever.co/revenueanalytics) - **Team size**: Approximately 59 employees as reported on LinkedIn. [linkedin.com](https://www.linkedin.com/company/revenue-analytics-inc-) - **Employer rating**: 3.9/5 across 65 reviews; culture rated 4.3 and compensation 4.2. [linkedin.com](https://www.linkedin.com/company/revenue-analytics-inc-) ## Sources 1. [revenueanalytics.com - About](https://www.revenueanalytics.com/about/) 2. [revenueanalytics.com - Careers](https://www.revenueanalytics.com/careers/) 3. [jobs.lever.co - Revenue Analytics](https://jobs.lever.co/revenueanalytics) 4. [cbinsights.com - Revenue Analytics Profile](https://www.cbinsights.com/company/revenue-analytics) 5. [linkedin.com - Revenue Analytics Company Page](https://www.linkedin.com/company/revenue-analytics-inc-) ## Other roles at Revenue Analytics - [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-revenue-analytics-atlanta-90z3dt0x1dn9) — Atlanta, GA - [Data Scientist](https://feeny.ai/job/data-scientist-nexxen-new-york-rvetb6v54brg) — New York, NY - [Data Scientist](https://feeny.ai/job/data-scientist-m9-solutions-washington-v84bdkjpyve4) — Washington, DC - [Data Scientist](https://feeny.ai/job/data-scientist-moonpig-london-snyv8sk5y734) — London, United Kingdom - [Data Scientist](https://feeny.ai/job/data-scientist-siteminder-pune-sbsqk7vby9be) — Pune, India - [Data Scientist](https://feeny.ai/job/data-scientist-platform-science-brazil-qbe9ryqqenny) — Brazil - [Data Scientist](https://feeny.ai/job/data-scientist-lyft-seattle-q264zy62f5ah) — Seattle, WA - [Data Scientist](https://feeny.ai/job/data-scientist-funding-circle-london-z7stq48ttw59) — London, United Kingdom - [Data Scientist](https://feeny.ai/job/data-scientist-mrbeast-san-francisco-vvt81k18z0x9) — San Francisco, CA - [Data Scientist](https://feeny.ai/job/data-scientist-awardco-lindon-n7kp9jtdk30r) — Lindon, UT