Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)
Translate business and operational requirements into structured modeling problems with guidance from senior team members
Perform feature engineering, model training, validation, and evaluation using defined best practices
Contribute to improving existing models and pipelines
Support the design and analysis of experiments (e.g., A/B tests, simulations) under guidance
Monitor model performance and identify opportunities for improvement
Apply standard processes to assess model quality, accuracy, and reliability
Work with structured and semi-structured datasets to prepare data for modeling
Write clean, maintainable Python and SQL code
Partner with Data Engineering and ML Engineering to support model deployment
Clearly communicate analytical findings to technical and non-technical stakeholders
Document assumptions, methodologies, and results
Build strong working relationships within the immediate team and cross-functional partners

Requirements

Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)
2+ years of experience in data science or machine learning
Experience applying machine learning techniques to real-world problems
Proficiency in Python and SQL
Understanding of model evaluation metrics and validation approaches
Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)
Experience working in cloud environments (AWS, GCP, or Azure)
Familiarity with experimentation methodologies (A/B testing)
Experience collaborating with engineering teams on production deployments

Benefits

Employees (and their eligible family members) may enroll in the following types of insurance coverage: medical, dental, vision, legal, and accidental death and dismemberment, as well as FSA/HSA (depending on enrolled medical plan).
Yum! also provides short-term disability, long-term disability, and life insurance.
Employees may enroll in our 401(k) plan.
Yum! provides 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round, and 2 paid days for volunteer time each calendar year.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningregressionclassificationforecastingoptimizationfeature engineeringmodel trainingmodel validationPythonSQL

Soft Skills

communicationcollaborationrelationship buildinganalytical thinking