Junior Data Scientist

About the role

Analyze consumer behavior across Philadelphia venues by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences. Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations. Conduct ad-hoc analyses to assess the effectiveness of short-term strategies, collaborating with cross-functional teams to define success metrics. Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field; equivalent practical experience may be considered
• 1–3 years of experience in an analytical or data science role
• Proficiency in data manipulation and transformation using Python or R
• Familiarity with SQL for data querying and analysis
• Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
• Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences

Benefits

• Opportunity to work with leading-edge technology and analytics
• Chance to impact operational and consumer data insights for sports and entertainment clients
• Contribute to enhancing guest hospitality experiences