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Research Associate, Dept of Analytics and Operations

Date: 26-Jun-2022

Location: Kent Ridge Campus, SG

Company: National University of Singapore

Job Description

We are looking for an experienced data scientist to join us at NUS Business Analytics Labs to develop data intensive high-performance applications. You should be comfortable with cloud services such as AWS, Google Cloud. Container orchestration will be plus. 

 

  • Responsible for the research and development and iteration of scenario recommendation algorithm, including retrieval, coarse ranking, precise ranking, and re-ranking, etc., to improve user experience and revenue
  • Implement federated recommender systems to preserve privacy with differential privacy and other data privacy-preserving methods
  • Analyze business data and formulate corresponding recommendation strategies
  • Communicate with relevant business teams and participate in the assessment and implementation of business needs.
  • Create MLFlow pipelines to deploy, monitor and conduct user experiments using larger deep learning models

Job Requirements

  • A Master's degree in Computer Science, Information Systems, Data Science or Operations Research
  • Solid algorithmic skills and excellent coding ability in Python, PyTorch/tensorflow framework and SQL
  • Familiar with various retrieval algorithms, Click-through Rate/Conversion Rate estimation, re-ranking models, etc.
  • Able to understand the business in depth, grasps concepts easily and is sensitive to data.
  • At least 3 years of algorithm development experience in recommendation, search, and advertising, working experience in e-commerce is preferred
  • Strong organizational and management skills.
  • Goal-oriented, proactive, and able to execute projects effectively good communication skills and teamwork spirit
  • Familiarity with NLP is preferred. Should be comfortable using machine learning and deep learning approaches to recommender systems and NLP.

More Information

Location: Kent Ridge Campus

Organization: School of Business

Department : Analytics And Operations

Employee Referral Eligible: No

Job requisition ID : 13962

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.