# Senior Data Scientist (Business & Transaction Platform)

**Company**: Grab
**Location**: Singapore, Singapore
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://jobs.smartrecruiters.com/Grab/744000159071309-senior-data-scientist-business-transaction-platform-?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9d2332f5-f64

## Description

Grab is Southeast Asia's leading superapp, offering various services such as food delivery, financial management, and transportation.

We are looking for a Senior Data Scientist to help construct in-house machine learning platforms and deploy production-grade ML and LLM solutions to solve complex business problems at scale.

**Responsibilities**

- Architect Scalable ML Solutions: Design, develop, and benchmark efficient deep learning and machine learning algorithms for large-scale prediction, classification, and forecasting problems.

- Deploy Production LLMs and Pipelines: Build, fine-tune, and deploy state-of-the-art LLMs and ML pipelines into production platforms in collaboration with engineering teams.

- Process & Feature Engineering: Analyse massive, multi-modal datasets and build data processing pipelines using distributed computing frameworks.

- Measure Business Impact: Design and execute offline evaluations and online A/B experiments to validate model accuracy, latency, and business performance metrics.

- Drive Platform Innovation: Stay at the forefront of machine learning and GenAI research, contributing to technical IP, prototypes, and team best practices.

- Cross-Functional Integration: Partner with Product, Engineering, and Operations stakeholders to translate business requirements into scalable ML features.

- Leverage AI for Productivity: Utilize GenAI tools and modern development workflows to accelerate code delivery, pipeline testing, and technical documentation.

**Requirements**

- Education & Domain Expertise: A Master's or PhD in Computer Science, Operations Research, Mathematics, Data Science, or a related quantitative field.

- Relevant Track Record: At least 2 years of hands-on industry experience building, deploying, and monitoring machine learning or deep learning models in production environments.

- Technical & Coding Proficiency: Programming skills in Python and PyTorch, alongside practical experience with SQL and Spark for distributed data processing.

- End-to-End Pipeline Knowledge: Understanding of data extraction, transformation, and pipeline engineering (ETL) within large-scale data platform architectures.

- LLM & Deep Learning Experience: Hands-on experience developing or fine-tuning transformer models, NLP architectures, or modern LLM frameworks.

- Stakeholder & Analytical Translation: Demonstrated ability to translate ambiguous business and transaction challenges into concrete, measurable ML formulations.

- Mandatory AI Productivity: Experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.

**Benefits**

- Term Life Insurance and comprehensive Medical Insurance

- GrabFlex benefits package

- Parental and Birthday leave

- Love-all-Serve-all (LASA) volunteering leave

- Confidential Grabber Assistance Programme

- FlexWork arrangements

## Skills

### Required
- Python
- PyTorch
- SQL
- Spark
- Machine Learning
- Deep Learning
- GenAI
- Transformer models
- NLP architectures
- LLM frameworks

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Source: [Apply at jobs.smartrecruiters.com](https://jobs.smartrecruiters.com/Grab/744000159071309-senior-data-scientist-business-transaction-platform-?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)