数据科学家
Data Scientist
数据科学家
Revenue Analytics 是一家 SaaS 公司，帮助公司做出更好的收入决策，涉及定价、产品和促销。我们的分析解决方案带来可衡量的收入增长，并帮助客户更快速、更有信心地行动。
自 2005 年成立以来，我们结合定价和收入管理的深厚专业知识与现代软件、机器学习和 AI，为复杂的商业决策提供支持。在酒店业，我们正在打造产品，重新定义现代收入管理的面貌——将高级分析转化为酒店运营商在定价、需求和竞争复杂性方面的实用产品功能。
这个数据科学家职位是一个独特的机会，加入一家正处于增长阶段的公司，该公司正在积极投资于酒店收入管理的未来。我们寻找对这一机会充满热情并有动力帮助构建真正的产品能力的人，而不仅仅是单次分析。
作为数据科学家，你将帮助构建支撑我们酒店分析平台的机器学习和 AI 系统。你将在一个复杂且快速变化的领域中处理收入管理和定价问题，与产品、科学和工程团队紧密合作，将模糊的问题转化为严谨的分析解决方案。你的工作将直接影响产品方向，并帮助酒店客户做出更好、更快、更数据驱动的决策。
你将负责：
- 构建支持酒店定价、预测和收入管理决策的机器学习和 AI 解决方案。
- 分析大型且有时混乱的数据集，识别模式、风险和机会，并将其转化为实际建议或产品功能。
- 使用干净的 Python 和 SQL 编写代码，与数据管道和分析工作流协作，准备、验证和实现数据。
- 有意识地应用现代 AI 技术，包括 LLM 和 AI 编码工具如 Claude Code，以加速原型设计、学习和开发，同时保持技术质量。
- 与产品、工程和跨职能利益相关者紧密合作，将业务问题转化为分析解决方案，并清晰传达洞察。
你将具备：
- 0–2 年的数据科学、分析、机器学习或相关领域的经验，包括实习、研究、毕业项目或有意义的独立项目。
- 统计学、数学、运筹学或相关领域的学士或硕士学位。
查看英文原文
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.
Originally posted on Himalayas