Data Scientist

Location: Miami, FLReady for a fresh, new career? Look no further because one of the world's most iconic brands can help you get there.Why Join Us?At Subway, "better" is baked into our DNA. We are a brand that believes in continued improvement … in our lives, our businesses, and our planet. From the handshake that started our very first sandwich shop to earning our position as one of the world's leading restaurant brands, we've always embraced change and the path ahead. And today, we're making better living way easier.Our purpose is more than the food we serve in our restaurants. It's centered on fueling healthy businesses and healthier lives. It is one of the most exciting times to join the Subway team and contribute to our transformational journey.

Key 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, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.Leverage a diverse set of large and unstructured data (POS data, loyalty program data, customer feedback, etc.) to derive meaningful insights and information sets that inform business decisions.Apply a variety of advanced analytical techniques including predictive modeling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.

Qualifications:

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field (or equivalent experience)3+ years of experience in data science, analytics, or a related roleStrong programming experience with Python, R, or similar languages for data analysis and model developmentExperience writing production-level code with a focus on scalability, performance, and maintainabilitySolid understanding of software development best practices (version control, testing, code reviews)

Technical Skills

Hands-on experience with machine learning techniques such as regression, classification, clustering, and ensemble methodsProficiency in advanced analytics methods including:

Predictive modelingTime series analysisOptimization and simulation techniques

Experience working with large, complex, and unstructured datasets (e.g., transactional, customer, or behavioral data)Strong data wrangling and exploratory data analysis (EDA) skillsExperience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)SQL along with Python, R required

Data & Engineering Collaboration

Experience working in cross-functional teams with data engineers, software engineers, and product teamsFamiliarity with data pipelines, ETL processes, and cloud-based data platforms (e.g., AWS, Azure, or GCP)Understanding of the full data science lifecycle, including:

Data preparationModel development and validationDeployment and monitoring

Analytical & Business Skills

Strong problem-solving and critical thinking skills with the ability to translate business questions into analytical solutionsExperience applying data-driven insights to influence business decisionsAbility to perform hypothesis testing and interpret statistical results

Soft Skills

Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholdersStrong collaboration and teamwork abilitiesAbility to manage multiple projects and work in a fast-paced environment

What do we offer?

Insurance Plans (Medical, Life)

Pension/401K/RSP (country specific)Competitive BonusMobility AllowanceTuition ReimbursementCompany HolidaysVolunteering timeAnd More…..

Compensation: The base pay range for this role is $102,700-$128,400 annuallyPay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V