Data Scientist

Revenue Analytics, Inc.

Revenue Analytics, Inc. is a SaaS firm dedicated to enhancing revenue decisions in areas like pricing, products, and promotions. Established in 2005, the company uses cutting-edge analytics solutions to significantly boost revenue and streamline processes. Recent investments have fueled their expansion into verticals like Media, Hospitality, Travel & Transportation, and Consumer Products. The Data Scientist role offers a chance to influence these operations and contribute to growth.

In this role you can expect to have the responsibilities:

• Analyze extensive datasets from varied sources to identify trends and build predictive models.
• Develop forecasting models to optimize resource allocation in hospitality and travel industries.
• Apply clustering techniques for customer segmentation to enhance marketing strategies.
• Create clear data visualizations to support decision-making by non-technical stakeholders.
• Collaborate with cross-functional teams to align data solutions with business goals.
• Ensure data quality through cleaning, validation, and transformation processes.
• Prepare reports and insights for senior stakeholders to guide business strategy.

This role comes with the following benefits:

This role requires you to have:

• 1-3 years of experience in data science or analytics.
• Proficiency in Python, R, or SQL.
• Data visualization expertise with Tableau or Power BI.
• Knowledge of machine learning algorithms and statistical modeling.
• Strong understanding of the hospitality or travel industry.
• Data integrity and accuracy aptitude.
• Analytical thinking and problem-solving skills.
• Excellent communication abilities.

You would benefit from having:

• Experience with AWS or Google Cloud.
• Familiarity with Hadoop or Spark.
• Understanding of industry-specific tools.
• Background in statistics, economics, or business analytics.