Grab
Grab is looking for talented data scientists with expertise in Machine Learning, Computer vision, Text mining, Natural language processing, Mapping and Sensor fusion. As a data scientist @ Grab you will have the unique opportunity to work on some of the most challenging and fascinating problems in transport, geo-spatial data mining, economics, and logistics, wrangle large scale data, build and deploy models that push our business metrics to their bounds and move Southeast Asia Forward. We foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate.
Get to know the Role and day-to-day activities:
• Build, validate, test, and deploy machine learning models (e.g. predictive, forecasting, clustering) using proven and experimental techniques. Deploy an online learning model where applicable;
• Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them;
• Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders;
The must haves:
• Ph.D. graduate, or Masters (with at least 3 years of experience), in Computer Science, electrical/electronics engineering, Statistics, or Optimization,
• Deep understanding and hands-on experience in Deep Learning (CNN, RNN/LSTM), Reinforcement Learning, besides generative (HMMs) and discriminative models (CRF, Random Forest, Gradient Boosted Trees), dimensionality reduction and manifold
• Hands-on experience using Keras, Tensorflow, Theano or Caffe, as well as Scikit Learn;
• Proficient in programming languages like Python, Java, Scala or C++;
Really nice to haves: i) Experience in building ML models at scale, using real-time big data pipelines on platforms such as Spark/MapReduce. ii) Research publications on NIPS, ICML, CVPR, KDD, AAAI, AISTATS, ICDM or other similar top AI and data mining conferences.
Grab is Southeast Asia's leading Online to O
Link:
https://grab.careers/job
Grab is Southeast Asia's leading Online to Offline (O2O) mobile platform. We use data and technology to improve everything from transportation to payments across a region of more than 620 million people. Working with governments, drivers, passengers, and the community, we aim to unlock the true potential of the region by solving problems that hinder progress.
