Data Scientist - Scale Analytics for a Global Brand

The Subway HR Team; Miami (FL); On-site; USD 103,000 - 128,000; Full time

Benefits offered by this job

Pension/401K/RSP

Competitive Bonus

Tuition Reimbursement

Company Holidays

Volunteering time

Job summary

Subway Headquarters in Miami, FL seeks a data scientist to design and deploy scalable analytics products. You will partner with data and software engineers across the full product lifecycle to wrangle data, run analyses, and build models that inform business decisions.

The role requires 3+ years in data science, strong Python/R skills, and experience with SQL, visualization tools, and data pipelines in cloud environments. Eligible for competitive compensation and growth opportunities.

Qualifications

• Bachelor’s degree in data-related field or equivalent experience.
• 3+ years in data science, analytics, or similar role.
• Strong programming with Python/R for data analysis and model development.
• Experience writing production-level code focused on scalability and maintainability.
• Solid understanding of software dev practices (version control, testing).

Responsibilities

• Write production-level code for robust analytics products, ensuring scalability and maintainability.
• Collaborate with data and software engineers to support data science solutions through the product lifecycle.
• Leverage large unstructured data to derive insights informing business decisions.
• Apply advanced analytics techniques including predictive modeling, ML, time series, optimization.

Skills

Python

R

SQL

Data wrangling

EDA

Communication

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics

Tools

Tableau

Power BI

matplotlib

seaborn

Job description

Subway Headquarters in Miami, FL seeks a data scientist to design and deploy scalable analytics products. You will partner with data and software engineers across the full product lifecycle to wrangle data, run analyses, and build models that inform business decisions.

The role requires 3+ years in data science, strong Python/R skills, and experience with SQL, visualization tools, and data pipelines in cloud environments. Eligible for competitive compensation and growth opportunities.