drjobs Senior Data Scientist

Senior Data Scientist

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1 Vacancy
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Job Location drjobs

Singapore - Singapore

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Get to Know our team

Grab Support is a technology-driven team focused on helping users when they need assistance. The Data Science team within Grab Support is dedicated to developing machine learning and natural language processing (NLP) technologies that make our products smarter. Currently the team is building advanced conversational AI solutions to bring user experience to the next level.

Get to Know the role

As a Senior Data Scientist specialising in Conversational AI you will report directly to the Head of Data Science Integrity & Core Experience and work onsite at Grab One North Singapore office. You will lead the development of modern chatbot technologies designed to handle diverse customer inquiries across Grabs super-app ecosystem. Your work will empower users with thoughtful and seamless support interactions. You are also committed to learning and experimenting with new methodologies to advance conversational AI capabilities.

The Critical Tasks You will Perform

  • You will analyse large volumes of unstructured data to understand the business the product and user pain points.
  • You will design develop and train advanced machine learning models tailored for conversational AI.
  • You will develop and refine solutions for tasks such as intent recognition sentiment analysis information extraction and dialogue management.
  • You will perform rigorous model evaluation and A/B testing deploying models in split environments to measure their real-world performance.
  • You will collaborate with cross-functional teams to integrate the models and enhance the product experience.
  • You will stay updated on the latest advancements in the field and experiment with innovative approaches to test their effectiveness.

Qualifications :

What Essential Skills You will Need

  • You have a Degree in Computer Science or related fields with at least 3 years of relevant experience
  • You are proficient in analysing large datasets to obtain actionable insights.
  • You have expertise in designing and training machine learning models with fundamentals in NLP algorithms and mathematics including familiarities with deep learning frameworks (e.g. PyTorch) and algorithms (CNN/RNN BERT seq2seq models).
  • You are experienced in using LLMs in NLP tasks and other applications. Familiar with application patterns such as RAG.
  • You have experience developing solutions for tasks like intent recognition sentiment analysis information extraction and dialogue management.
  • You have experience in model evaluation and A/B testing techniques to assess model performance in real-world scenarios.
  • You are proficient in statistical programming languages such as Python with familiarity in RDBMS like PostgreSQL or MySQL.


Additional Information :

Life at Grab

We care about your well-being at Grab here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.
  • With GrabFlex create a benefits package that suits your needs and aspirations.
  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
  • Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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