Data Scientist (AI/ML Modeling, Forecasting & Algorithms)
Yum! BrandsRemoteFull Time2d ago
$107,000-$133,000
PythonAWSAzureGCPMachine LearningDeep LearningTensorFlowPyTorchAIMLData EngineeringData Science
Job description
Data Scientist (AI/ML Modeling, Forecasting & Algorithms) at Yum! Brands.
About the role
Yum! Crave AI is looking for a data scientist to build and deploy machine learning models that solve operational business challenges. This position focuses on applying standard modeling techniques to deliver scalable solutions while working alongside cross-functional partners.
Key facts
What you'll do
- Create and implement machine learning models including regression, classification, forecasting, and optimization.
- Translate business needs into structured technical problems with support from senior team members.
- Manage the full model lifecycle, including feature engineering, training, validation, and evaluation.
- Support the design and analysis of experiments such as A/B tests and simulations.
- Prepare structured and semi-structured data for analytical use.
- Partner with Data and ML Engineering teams to assist in model deployment.
- Document methodologies, assumptions, and results for both technical and non-technical stakeholders.
Requirements
- Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or Engineering.
- 2+ years of professional experience in data science or machine learning.
- Demonstrated ability to apply machine learning to practical, real-world issues.
- Proficiency in SQL and Python.
- Understanding of validation methods and model performance metrics.
Nice to have
- Experience with deep learning frameworks like PyTorch or TensorFlow.
- Background working within cloud environments such as GCP, AWS, or Azure.
- Familiarity with A/B testing and other experimentation methodologies.
- Prior experience collaborating with engineering teams on production-level deployments.
Skills & tools
- Python
- SQL
- Machine Learning (Regression, Classification, Forecasting, Optimization)
- Model Validation
- A/B Testing
- Cloud Platforms (AWS, GCP, or Azure)
Practical notes
- Benefits include medical, dental, vision, legal, and accidental death and dismemberment insurance, plus FSA/HSA options.
- The package includes short-term disability, long-term disability, life insurance, and a 401(k) plan.
- Time off includes 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating holiday, and half-day Fridays throughout the year.
- Employees receive 2 paid volunteer days annually.
- Yum! Brands is an equal opportunity employer committed to inclusion and providing reasonable accommodations for applicants with disabilities.