Lead Data Scientist (Customer Support Experience)

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Grab

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Job Summary


Salary
S$10,109 - S$15,296 / Monthly EST

Job Type
Permanent

Seniority
Lead

Years of Experience
At least 4 years

Tech Stacks
TensorFlow Keras Azure Spark SQL Python AWS

Job Description

Get to know the team

We at Grab Support (GS) care about customers and aspire to deliver the best-in-class Support Experience to our customers. As we grow our customer base, we are leveraging Science and Technology to match the ever-growing Customer Support needs. We are working with a myriad of interesting structured and unstructured data including audio and free-text. You will be at the heart of designing cutting-edge algorithms and rolling them out to help our team drive SEA forward with technology.

Get to know the role:

  • Work with structured and unstructured data and use them to achieve the business objectives
  • Develop quick prototypes by innovating, as well as hacking your way with off-the-shelves packages
  • Build and deploy systems with Grab software and serve millions of users
  • Patent/Publish your innovation/findings
  • The day-to-day activities:
  • Deep dive into big data to conduct advanced statistical analyses
  • Design, build, and productionize machine learning and deep learning algorithms efficiently
  • Integrate, simulate, and A/B test the impact of algorithms and features
  • Store, retrieve, and visualize results in a presentable manner that facilitates decision-making for rollouts
  • Effectively conceptualize analyses and communicate to business/product stakeholders

The must-haves:

  • Masters (PhD preferred) in Computer Science, Engineering, Sciences, Math and Statistics or other relevant courses
  • Strong Machine Learning fundamentals:
  • At least 4+ years experience in developing data pipelines, building production-grade ML models and productionizing
  • Prior knowledge of ML algorithms such as Neural Network architectures, SVM, decision trees, boosting techniques etc.
  • At least 2+ years experience working in NLP domain, building chatbots, neural translations, etc
  • Strong software skills:
  • Excellent software development capabilities, preferably in Python
  • Familiar with Git-based source control, cloud-based development (AWS/Azure)
  • Strong working knowledge of Spark, SQL
  • Knowledge of deep learning frameworks such as Tensorflow, Keras, Torch
  • Ability to build quick prototypes, use relevant off-the-shelf packages and hack your way around them
  • Should be able to own the project, effectively engage with business stakeholders and deliver production-grade models independently.

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