Senior Data Scientist Position Available In Miami-Dade, Florida
Tallo's Job Summary: The leading national fast-food restaurant brand in Miami, FL is recruiting a Senior Data Scientist to enhance sales performance, marketing strategy, and customer engagement. Responsibilities include developing predictive models, implementing clustering strategies, and translating data findings for non-technical partners. The role requires 6+ years of data science experience and strong coding skills in Python, SQL, GitHub, Azure DevOps, and AWS SageMaker. Benefits include competitive salary, health insurance, 401(k) with match, and generous PTO.
Job Description
Title:
Senior Data Scientist Location/Schedule:
Onsite 4 Days/Week –
Miami, FL Company/Role Overview:
A leading national fast-food restaurant brand is seeking a Senior Data Scientist to join their Marketing Analytics team. This is a highly project-based role focused on building and deploying advanced analytical solutions that directly influence sales performance, marketing strategy, and customer engagement across thousands of locations. As a key member of the analytics department, you’ll work on initiatives ranging from sales forecasting and store clustering to personalized promotion recommendations and performance modeling.
Responsibilities:
Lead development of predictive and prescriptive models for sales forecasting, store performance, and marketing effectiveness Design and implement clustering and segmentation strategies to inform store-level marketing initiatives Drive performance analytics and generate actionable insights for marketing and operations stakeholders Build and deploy machine learning models across AWS and Azure DevOps environments Support A/B testing frameworks and time-series modeling to evaluate marketing mix and promotion performance Translate complex data findings into clear recommendations for non-technical business partners
Qualifications:
6+ years of hands-on data science experience (excluding academic work) Master’s degree in a technical discipline (e.g., Data Science, Statistics, Engineering, Computer Science) OR 10+ years of experience in a professional data environment Proven experience in developing and deploying models for forecasting, classification, regression, clustering, and marketing analytics Strong coding and data engineering skills using Python , SQL , GitHub , Azure DevOps , and AWS SageMaker Demonstrated ability to manage complex, project-based analytical workstreams within a business setting Excellent communication skills with the ability to influence stakeholders through data-driven storytelling
Benefits:
Competitive base salary with annual performance bonus Comprehensive health, dental, and vision insurance 401(k) with employer match Generous PTO and holiday schedule
