onsite
Data Scientist - Revenue Analytics
Data Scientist
Data Scientist role focused on building machine‑learning models and analytics solutions to optimize pricing, product, and promotion strategies, leveraging Python, statistical methods, and cloud platforms.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models that improve pricing, product mix, and promotional effectiveness for hospitality clients.
- Collaborate with product and engineering teams to integrate machine‑learning pipelines into SaaS offerings.
- Analyze large, multi‑source datasets using SQL and Python to uncover revenue‑impacting insights.
- Create interactive visualizations and dashboards that communicate findings to stakeholders.
- Maintain and optimize cloud‑based infrastructure (AWS) for scalable model training and inference.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
- Solid background in statistical modeling, experiment design, and hypothesis testing.
- Experience querying and transforming data with SQL and working with large relational or columnar datasets.
- Hands‑on experience with cloud services (AWS) for data processing and model deployment.
- Ability to translate complex analytical results into clear visualizations and actionable recommendations.
Skills
pythonmachine learningsqlaws