Senior Data Scientist

Senior Data Scientist

GrabTaxi Pte Ltd
Not Specified
Not Specified

Job Description

Job Description :
Life at Grab:
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Get to know our Team:
The Trust, Identity, and Safety team acts as guardians of all our users on Grab. Our mission is to be the most trusted platform in the world for protecting individuals and businesses in the domain of fraud, risk, digital identity and safety. Our data science team leverages rich datasets to build AI solutions to solve those tough problems. We're a hands-on team interested in the end to end data lifecycle: from wrangling data to understanding the trade-offs between model complexity and deployment in production.
As more communication channels are built up in Grab platform, understanding and monitoring the text content become an increasingly important task. We are looking for an experienced Data Scientist on NLP to strengthen our capabilities to provide better user experience. If you're passionate about solving complex problems with immediate real-world impact, we want you!
Get to know the role:

  • Develop language understanding technologies to mitigate various risks and improve user experience.

  • Collaborate with product, risk, compliance and engineering teams to manage the entire end-to-end life cycle of designing, implementing, and deployment of models.

  • Work independently or in a team to solve complex problem statements

  • Think out of the box and innovate in all possible perspectives.

The must haves:

  • Ph.D. or Master's in Computer Science, Electrical/Computer Engineering, Industrial & Systems Engineering, Mathematics/Statistics, or related technical disciplines.

  • Proficient in programming in languages like Python, R, Java, or C++.

  • Proficient in algorithm design given various data structures including sparse matrices, sequences, trees, and graphs.

  • Deep understanding of language processing technologies and language models.

  • Hands on experience of low level language processing tasks and algorithms.

  • Strong working knowledge of machine learning including classification, clustering, and anomaly detection.

  • Experience in ETL, feature selections, hyper-parameter optimization, model validation and visualization.

  • Experience in tools like Scikit-Learn, Pandas, or XGBoost.

  • Experience in deep learning frameworks like Tensorflow or PyTorch.

  • Deep understanding and implementation experience of predictive modeling algorithms such as logistic regression, neural networks, forward propagation, decision trees and heuristic models, with familiarity dealing with trade-offs.

  • Experience in interfacing with other teams and departments to deliver impact solutions for the organization.

  • Self-motivated, independent learner, and enjoy sharing knowledge with team members.

  • Detail-oriented and efficient time manager in a dynamic and fast-paced working environment.

Really nice to haves:

  • Experience with NLP modelling on South East Asia languages.

  • Recent programming experience in a production environment.

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.
About Grab
Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries.
Join us today to drive Southeast Asia forward, together.

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