Pizza Hut Digital Ventures (PHDV) is looking for a data scientist to join our Ho Chi Min City, office in Tan Binh district, Vietnam.
Partner with Pizza Hut (and other YUM! Brands) to identify opportunities to leverage company data to drive business outcomes
Play a key role in our advanced analytics team developing data science solutions, responsible for driving Yum Growth
Build predictive models to elevate the customer experience and drive revenue growth in our restaurants globally
Implement globally scalable, cross-brand solutions related to data science
Deliver solutions leveraging the latest machine learning (ML) techniques that can be productionalized at scale.
Collaborate with our Yum! data science teams to enhance, scale, and operationalize existing models.
Conduct and support white-boarding sessions, workshops, design sessions, and project meetings as needed, playing a key role in cross-functional business relations.
Work with colleagues from Vietnam, United Kingdom and the US
Responsible for processing huge volumes of data across all markets in PH
Apply machine learning techniques and build high-quality predictive/prescriptive systems
What we are looking for:
5+ years of experience in developing machine learning models for products.
In-depth knowledge of Python and SQL.
Knowledge of common data science Python libraries like NumPy, Pandas, PyTorch, and TensorFlow
Deep understanding of supervised and unsupervised machine learning techniques, • Hands-on experience with neural networks, particularly for time series and recommender systems, preferred.
Experience building recommendation engine models for eCommerce business • Knowledge of the full data mining steps from data preparation, modeling, visualization, and interpretation.
Experience in integrating business analysis with technical solutions that involve advanced analytics solutions, demand forecasting, segmentation, churn prediction, predictive maintenance, and route optimization, etc.
Ability to work with key business stakeholders throughout the organization to identify opportunities for leveraging our data to drive business solutions by using advanced analytical methods.
Master's degree/Ph.D. in a highly quantitative field (statistics, computer science, etc.)
What we’re offering:
The pleasant, enthusiastic, international work environment
A brand new Agile office
A promising training and career path (Personal Plan Development, 1:1 meeting bi-weekly…)
Fun team activities & outing
Work-life balance 40-hr per week from Mon to Fri
Annual Leave: 18 days/year
Probation Leave: 3 days/ 2 month
Full salary insurance
General Health Insurance