Data Scientist

2 weeks ago

Singapore Grab Full time

**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 the Team**

**Get to know the Role**

**The Day-to-Day Activities**:

- Understand business requirements and outcome.
- Translate straightforward business problems into data science problems.
- Develop data pipelines, computer vision models to solve identified problems.
- Design appropriate experiments to validate finding or test hypotheses.
- Gain insights from data and results.
- Provide on-going tracking and monitoring of performance of the strategy recommended, especially during experiment and rollout.
- Document analysis, methodology, algorithms, results and insights in a clear and logical manner.
- Present and depict the rationale of findings in easy to understand terms for the business.
- Assist in solving assigned parts of problems in projects.

**The Must-Haves**:

- You have a degree in computer science, electrical/computer engineering, or mathematics/statistics. Master’s / PhD degree preferred.
- You typically have 1-3 years experience in programming languages, such as Python, Java, C++, Spark and experience in manipulating large imagery datasets.
- You are familiar with the basic principles behind the state-of-the-art machine learning, deep learning, image processing, computer vision, probability and statistics.
- You are good in one or more of the following tasks: image classification, object detection, semantic segmentation and instance segmentation.
- You are good in one or more of the machine learning frameworks: PyTorch, PyTorch Mobile, Tensorflow or Tensorflow Lite.
- You are a self-motivated, independent learner, and capable of completing good quality work on time.
- You have good communication and interpersonal skills.

**The Nice-to-Haves**:

- Experience in the O2O platform company, map service company or other related geo-spatial domain.
- Experience in mobile app development, edge computing, camera signal processing is a very desirable plus.
- Experience in processing data and building ML models using distributed computing frameworks (e.g. Spark).
- Familiarity with cloud platforms like AWS or Azure

**Our Commitment**

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.

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