Junior Data Scientist- Philadelphia District

Aramark • Philadelphia, PA

1d • Onsite

About The Position

Aramark Sports + Entertainment is hiring a Junior Data Scientist based in Philadelphia to support our Sports + Entertainment portfolio, including the Philadelphia Phillies, Philadelphia Eagles, Philadelphia Union, and other regional venues, to support data analysis of food and beverage trends. This position will focus on data governance, advanced analysis and modeling, and data-backed recommendations to maximize opportunity. The Data Science division is the epicenter of data analytics, uncovering impactful insights that put Aramark clients in the sports and entertainment industry ahead of the curve. Using leading-edge technology and analytics, Data Science synthesizes operational and consumer data to optimize strategies that enhance the guest hospitality experience and blaze a trail for innovation. Through continuous expansion of analytical capabilities and a comprehensive method of understanding the industry at large, Data Science harnesses the power of data as the most strategic asset in maximizing value for consumers, operators, and businesses alike.

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.
• Effective organizational and time management skills, with the ability to manage multiple projects simultaneously.
• Solid understanding of statistics, experimental design, and core data science concepts.
• Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences.

Nice To Haves

• Master’s degree in a quantitative discipline.
• Experience with data visualization tools (e.g., Power BI) and interactive app development (e.g., Streamlit, RShiny) is a plus.
• Familiarity with cloud-based data platforms (e.g., Snowflake) is a plus.
• Working knowledge of Git and version control best practices is a plus.
• Experience building AI agents or agentic workflows is a plus.

Responsibilities

• 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. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations.
• Support the development of automated reporting workflows that deliver key performance metrics to stakeholders across Philadelphia-area venues, including Citizens Bank Park, Lincoln Financial Field, Subaru Park, and more.
• Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives.
• Assist in the development of AI-powered applications and agentic workflows that automate operational tasks, orchestrate business processes, and deliver actionable recommendations to end users.
• Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Senior Manager of Data Science.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level