Senior Data Scientist
Senior Data Scientist
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Job Description
Get to Know the Team
Our Data Science Team is committed to developing innovative and highly scalable machine learning algorithms to solve problems in prediction forecasting classification and more which help to solve business challenges within Grab to enhance the transaction efficiency and reliability of our platform. We are seeking a talented Senior Data Scientist to join our team and play a pivotal role in developing machine learning systems that address key business challenges within Grab. In this role youll have the chance to apply cuttingedge technologies and make a meaningful impact on millions of users.
Get to Know the Role
As a Senior Data Scientist you will play a pivotal role in building LLMbased applications that assist merchants in managing their daily business activities. You will be responsible for providing recommendations insights and domain knowledge to resolve business challenges and explore various potential use cases for LLMs to enhance merchant sales. This role offers the opportunity to work with the latest technologies and make a significant impact on our merchants success.
This role reports to the Senior Data Science Manager and reports onsite in Singapore Grab office.
The DaytoDay Activities
- Deep dive into the big datasets and prepare them for model building and training Design and build efficient and scalable deep learning/machine learning algorithms Evaluate the performance of the algorithms via offline datasets or experiments Deployment of solutions to production platforms Contribute to teams innovation and IP creation Keep up with the latest literature in deep learning machine learning Collaborate with other data scientists software engineers and business operation teams
Qualifications :
Must Haves
A PhD or Masters degree in Computer Science Operations Research Mathematics or a related field.
Over 2 years of relevant work experience in data science or a related field.
Proficiency in programming languages such as Python PyTorch SQL and Spark.
Strong understanding of data Extracting Transforming and Loading ETL) processes and experience with large data platforms.
Handson experience with machine learning and a passion for exploring their potential applications.
NicetoHaves
- Experience in working with food delivery and ecommerce data and use cases
- Knowledge of chatbot development and deployment
- Knowledge of RAG (Retrieval Augmented Generation) LLM finetuning etc.
- Strong understanding of data Extracting Transforming and Loading (ETL) processes and experience with large data platforms.
- Experience in parallel programming and multithreading
- Knowledge in code optimization techniques
Additional Information :
Life at Grab
We care about your wellbeing 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 LoveallServeall (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
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 :
Fulltime
Employment Type
Full-time
