Senior Data Scientist

Ready to Shape the Future of Data Science in a Global Consumer Brand?

A major player in the Quick Service Restaurant (QSR) space is building a next-generation data science capability—and is looking for a Senior Data Scientist to be at the forefront. This is a unique opportunity to drive high-impact analytics in a brand recognized worldwide, working on cutting-edge models with real-world impact seen across thousands of locations.

About the Company

Backed by a world-class private equity firm, the company is undergoing a data-driven transformation to unlock smarter decision-making and optimize restaurant performance globally. With millions of transactions daily, there's no shortage of data—nor ambition. The Strategy & Analytics team is lean, collaborative, and fast-moving, with strong executive support and a mandate to build from the ground up.

About the Role

The Senior Data Scientist will help close a technical gap on the team and will play a pivotal role in building and productionalizing models that influence customer strategy, restaurant operations, and business performance. This is a net-new position created due to growth, offering a high level of ownership, visibility, and long-term leadership potential.

The role is based in Miami, FL , with a hybrid structure (typically onsite 4x/week, Fridays remote), and will report to the Senior Director of Strategy & Analytics.

Key Responsibilities

• Productionalize and scale predictive models in the company’s ecosystem (e.g., traffic, customer performance, segmentation)
• Lead marketing analytics initiatives under a new CMO, including customer segmentation and value modeling
• Work closely with IT teams to ensure successful model deployment using AWS (especially SageMaker)
• Collaborate cross-functionally across departments, including HQ and international teams
• Present insights and model outputs clearly to senior leadership and non-technical stakeholders
• Help lay the groundwork for future data science talent and best practices

Skills & Experience You’ll Need

• 6–10+ years of hands-on data science experience, ideally in QSR, retail, or consumer product industries
• Strong fluency in Python and SQL
• Proven ability to independently build, deploy, and monitor models in AWS (preferably SageMaker)
• Strong understanding of A/B testing and causal inference
• Broad modeling exposure across segmentation, forecasting, classification, etc.
• Comfortable using GitHub and version control tools
• Excellent communicator with executive presence and the ability to push back with data
• Self-starter who thrives in fast-paced, evolving environments
• Bachelor’s or Master’s degree preferred; PhD acceptable if not overly research-focused
• Bonus: Experience in Go or Scala, marketing mix modeling

What Makes This Role Special

• Greenfield opportunity : Help build a new data science capability from scratch
• Massive data scale : Rich 1st and 3rd party datasets to experiment and drive value
• Direct impact : See your work deployed and implemented globally
• Strong backing : Supported by a top-tier private equity firm focused on growth
• Career runway : Clear progression path into a Director-level role
• Collaborative culture : Join a small, high-functioning team with a diverse set of backgrounds

Compensation

• Base salary up to $190,000
• Annual bonus of 20%
• Relocation considered with lump sum package (local candidates preferred)
• TN visa sponsorship available (no broad sponsorship)

Location: Miami, FL (Onsite 4x/week)

Interested in using data to drive global impact across thousands of locations? This could be the opportunity to make your mark.