Data Scientist — Scalable Analytics for a Global Brand

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

Benefits offered by this job

Pension/401K/RSP (country specific)

Competitive Bonus

Tuition Reimbursement

Company Holidays

Volunteering time

Job summary

Subway Headquarters in Miami, FL is hiring a data scientist to build scalable analytics products and collaborate across data, software, and product teams. You will leverage large, unstructured data to derive insights and support decision-making through modeling, ML, and optimization.

The role requires 3+ years in data analytics, strong Python/R skills, and a solid software development foundation. The position offers an on-site work arrangement with competitive compensation and benefits.

Qualifications

• Bachelor’s degree in a quantitative field or equivalent experience.
• 3+ years of experience in data science, analytics, or a related role.
• Strong programming experience with Python, R, or similar languages for data analysis and model development.
• Experience writing production-level code with a focus on scalability, performance, and maintainability.
• Solid understanding of software development best practices (version control, testing, code reviews).
• Hands-on experience with machine learning techniques such as regression, classification, clustering, and ensemble methods.
• Proficiency in advanced analytics methods including predictive modeling, time series analysis, optimization and simulation techniques.
• Experience working with large, complex, and unstructured datasets (e.g., transactional, customer, or behavioral data).
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
• SQL along with Python, R required

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 entire product lifecycle.
• Leverage large and unstructured data to derive insights informing business decisions.
• Apply advanced analytical techniques including predictive modeling, machine learning, time series analysis, and optimization to address business challenges.

Skills

Python

R

SQL

Machine Learning

EDA

Data Visualization

Education

Bachelor's degree in Data Science

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Job description

Subway Headquarters in Miami, FL is hiring a data scientist to build scalable analytics products and collaborate across data, software, and product teams. You will leverage large, unstructured data to derive insights and support decision-making through modeling, ML, and optimization.

The role requires 3+ years in data analytics, strong Python/R skills, and a solid software development foundation. The position offers an on-site work arrangement with competitive compensation and benefits.