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About the role
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 Preferred Qualifications 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
Salary Range: 106,600 - 133,200
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. To learn more about working at Yum! - Click here. At Yum!, one of our core values is to Believe in ALL People. This means seeing the value in everyone and unlocking their full potential to be their best self. YUM! Brands, Inc. (including its subsidiaries Yum Restaurant Services Group, LLC (“YRSG”) and Yum Connect, LLC (“Yum Digital and Technology”)(collectively, “Yum”) is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic. Yum! is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs. US Job Seekers/Employees - Click here to view the “ Know Your Rights ” poster and supplement and the Pay Transparency Policy Statement.
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