Jr. Data Scientist - Oracle Park

Position Overview

Aramark Sports + Entertainment is hiring a Junior Data Scientist at Oracle Park, home of the San Francisco Giants, to support data analysis of food and beverage trends. This role focuses on data governance, advanced analysis and modeling, and providing data-backed recommendations to maximize opportunity. The Data Science Group is the epicenter of analytics in the sports and entertainment industry, synthesizing operational and consumer data to enhance guest hospitality and drive innovation.

Key Responsibilities

• Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments and presenting insights using statistical methods and engaging visualizations.
• Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems; identify inefficiencies and recommend actionable improvements.
• Conduct ad-hoc analyses to assess the effectiveness of short-term strategies while collaborating with cross-functional teams to define success metrics.
• Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants.
• Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics initiatives.
• Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist.

Required Qualifications

• Legally authorized to work in the United States without the need for employment-based sponsorship.
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field (or equivalent practical experience).
• 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.
• Solid understanding of statistics, experimental design, and core data science concepts.
• Strong communication skills with the ability to present findings to both technical and non-technical audiences.
• Able to work in a hybrid (remote and in-office) environment with a flexible, event-driven schedule.

Preferred Qualifications

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

Benefits & Perks

• Compensation: $70,000 to $95,000 salary range.
• Benefits: Comprehensive programs including medical, dental, vision, work/life resources, retirement savings plans such as 401(k), and paid days off (including parental leave and disability coverage).