Data Scientist

Summary

Join Revenue Analytics, a SaaS company empowering businesses with data-driven revenue decisions, as a Data Scientist. You will play a critical role in analyzing data to uncover insights, build predictive models, and drive strategic decisions. Responsibilities include data analysis and modeling, forecasting, customer segmentation, data visualization, and collaboration with cross-functional teams. This position requires 1-3 years of experience in data science, proficiency in programming languages (Python, R, or SQL), and a Master's degree. The ideal candidate will possess strong analytical and communication skills and a deep understanding of the hospitality or travel industry. This is a unique opportunity to join a growth-stage company and make a significant impact.

Requirements

• 1-3 years of experience in data science, analytics, or a similar field, with exposure to hospitality, travel, or related industries (e.g., tourism, transportation)
• Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling
• Experience with data visualization tools like Tableau, Power BI, or similar
• Familiarity with machine learning algorithms and statistical modeling techniques for forecasting, classification, and clustering
• Strong understanding of the hospitality or travel industry, including trends such as dynamic pricing, customer behavior analysis, and demand forecasting
• Ability to clean and manipulate large datasets, ensuring data integrity and accuracy
• Strong analytical thinking and problem-solving skills with a detail-oriented mindset
• Excellent communication skills, with the ability to explain complex data findings in a clear and actionable manner to both technical and non-technical audiences
• Master’s degree

Responsibilities

• Analyze large datasets from various sources (e.g., booking systems, customer feedback, operational data) to identify trends, patterns, and correlations
• Build predictive models and algorithms that drive actionable business insights
• Develop models to forecast demand, occupancy rates, booking patterns, and other key metrics specific to the hospitality and travel industry, helping clients optimize pricing and resource allocation
• Use clustering and segmentation techniques to create customer profiles, helping businesses tailor their offerings and marketing strategies to different customer segments
• Create clear, intuitive visualizations and dashboards to present complex data in a way that is accessible to non-technical stakeholders, enabling better decision-making
• Work closely with product, marketing, and operations teams to ensure data solutions align with business objectives
• Provide analytical support to improve customer experience, operational efficiency, and revenue generation
• Ensure the quality and accuracy of data by developing processes for cleaning, validating, and transforming raw data into usable formats for analysis
• Deliver regular reports and ad-hoc analysis to senior stakeholders, providing actionable insights to drive business strategies

Preferred Qualifications

• Experience working with cloud platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark) is a plus
• Familiarity with industry-specific tools (e.g., booking engines, CRM systems, travel data APIs)
• A background in statistics, economics, or business analytics is highly valued