Junior Data Scientist Jobs

Junior Data Scientist

Aramark

Location:
United States, San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

70000.00 - 95000.00 USD / Year

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Job Description:

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, home of the San Francisco Giants, 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.

Job Responsibility:

Analyze consumer behavior at Oracle Park 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, 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 and reporting initiatives
Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist

Requirements:

Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
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
Must be able to work in a hybrid (remote and in-office) environment
Must be able to work a flexible, event-driven schedule that aligns with business requirements as needed

Nice to have:

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

What we offer:

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Additional Information:

Job Posted:
December 20, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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