Senior Data Scientist
Senior Data Scientist
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Job Description
Get to Know the Team
Data Science GEO - Traffic team at Grab focuses on building world-class map services such as travel time estimation traffic activity recognition and indoor / outdoor positioning. These applications enhance Grabs consumer experience on transport food deliveries logistics and improve our platform efficiency. We use deep learning and conventional machine learning models for developing services for geo-spatial intelligence. These technologies are applied on a variety of signals such as GPS probes sensor readings and street view images to build map service capabilities.
Get to Know the Role
As a senior data scientist you will develop pipelines and models for high QPS use cases such as travel time estimation for food transport and positioning. You will report to the Senior Data science manager of DS-Geo-Services.
The Critical Tasks You Will Perform
- Understand our needs identify areas for investigation and translate them to technical problems to be solved
- Define hypotheses build necessary tests experiments and data analyses to prove or disprove them
- Develop data pipelines build and increase deep learning and machine learning algorithmsincluding Large Language Models (LLMs) and multi-modal modelsfor real-world impact.
- Contribute to teams innovation and IP creation
- Collaborate with other data scientists software engineers product managers and our operation teams.
Qualifications :
What Essential Skills You Will Need
- Masters in Computer Science Electrical/Computer Engineering.
- 2 years of experience in end-to-end ML lifecycle from data preprocessing model development model deployment through model retraining and fine tuning.
- 2 years of experience manipulating large-scale datasets using libraries such as Spark.
- Proficiency in deep learning frameworks such as TensorFlow or PyTorch and deployment tools (ONNX tf-serving TorchServe Triton Inference Server)
- Solid software engineering skills in Python
- Experience with model versioning CI/CD for ML containerization (e.g. Docker) and cloud-based deployment (AWS GCP Azure)
Nice-to-Haves
- 3 years of industry experience working with logistics mapping or e-commerce data and use cases.
- Experience in ETA traffic prediction routing algorithm positioning algorithm or mobile-side computing is a very desirable plus.
- Knowledge of programming in Golang or Rust.
- Know the modern data pipeline and warehousing stacks such as Airflow Superset Kafka stream processing and Apache Flink.
- Experience working with and finetuning Large Language models (LLMs) and agentic AI frameworks such as Langchain/Langgraph/crewAI.
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
