Director, Data Science

Region: Miami, FL

Ready 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 about 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. 

About the Role:

We are looking for a Director, Data Science to lead a team focused on pricing optimization, lead scoring, and customer personalization. This role will support Subway product, sales, leadership, operations and marketing teams with insights gained from analyzing company data. The position requires demonstrated experience with data mining, reconciliation & analytics and developing/deploying models into production, as well as monitoring them. This role is ideal for a Data Science leader who can define strategy, develop predictive models, and drive measurable business results through advanced analytics.
 
Responsibilities include but are not limited to:

• Lead a high-performing team, fostering a culture of experimentation, collaboration, and innovation.
• Develop dynamic pricing models that optimize revenue, improve conversion rates, and enhance market competitiveness.
• Enhance lead scoring and customer personalization by building predictive models. that identify high-value leads, optimize sales funnels, and improve user experiences.
• Design and analyze A/B tests, causal inference models, and other experimentation techniques to measure and optimize product, marketing, and operational decisions.
• Establish frameworks for data quality, governance, and self-service analytics to ensure consistency and accessibility across the company.
• Collaborate with Product, Finance, Marketing, Sales, and Operations to define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
• Define key business metrics, analyze performance, and provide strategic recommendations to executive leadership.

 
Qualifications:

• Bachelor's degree in a technical field (i.e. Statistic, Mathematics, Computer Science) required; Master's or MBA preferred.
• Minimum 10 years of experience in data science or analytics, including at least 5 years in leadership roles.
• Expertise in predictive modeling, dynamic pricing, and lead scoring using machine learning and statistical methods.
• Strong experience with SQL, Python, R, and BI tools such as Looker or Tableau.
• Knowledge of advanced statistical techniques and concepts and experience with applications.
• A drive to learn and master new technologies and techniques.
• Proven ability to translate data insights into business strategy and influence executive stakeholders.
• Deep knowledge of A/B testing, experimentation, and customer segmentation.
• Strong leadership skills with a demonstrated ability to influence different functions and levels of the organization.
• Excellent oral and written communication skills.
• Ability to adapt and thrive in a rapidly changing and fast-moving environment.
• Previous experience in QSR or Consumer Packaged Goods is a strong plus.

 
What do we Offer?
 
•    Insurance Plans (Medical/Life)
•    401K
•    Competitive Bonus
•    Mobility Allowance
•    Tuition Reimbursement
•    Company Holidays
•    Volunteering time
•    And Many More…..