Junior Data Scientist- Philadelphia District
Role details
Job location
Tech stack
Job description
? 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.
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. Preferred Qualifications: ? Master's degree in a quantitative discipline. ? Experience with data visualization tools (eg, Power BI) and interactive app development (eg, Streamlit, RShiny) is a plus. ? Familiarity with cloud-based data platforms (eg, 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. About Aramark