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Data Scientist [HUTBOT]

Pizza Hut Digital Ventures (PHDV) is looking for a data scientist to join our Ho Chi Min City, office in Tan Binh district, Vietnam.



Responsibilities:

  • 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

  • 13th-month bonus

  • Full salary insurance

  • General Health Insurance



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