Senior Data Scientist (Data Science Architecture) - Singapore

Get to know our Team:

Grab's Data Science team works on some of the most challenging and fascinating problems in transport, logistics, economics, and the space around. We apply deep learning, geospatial data mining, simulation, forecasting, scheduling, optimization, and many other advanced techniques on our huge datasets to push our business metrics to their bounds, directly and indirectly. 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.

Sample of problems the Data Science Department solve - Intelligent allocation, machine/deep learning - based predictions (all sorts!), Dynamic pricing, Supply/demand forecasting and positioning, Incentives and promotions optimization, Carpooling, Multi-modal transport, Geospatial data mining, etc.

We are the team that builds the platforms and tools that help the Data Scientists do their work. We organize the data to be used in experiments and modelling, provision the infrastructure to store and process it, and build tools to analyze it. We work with cutting edge and industry standard products to come up with solutions to various use cases for the different Data Science teams. If exploring present and emerging technologies to solve problems excite you, come and join the team.

Get to know the Role:

• Plan, build, deploy, and maintain scalable machine learning infrastructure

• Generate fit-for-purpose tools for various ML use cases

• Leverage collected data for building ML models to solve business problems

• Contribute to team's innovation and ensure up to date skills and knowledge

The must haves:

• Bachelor or Masters in Computer Science, Electrical/Computer Engineering , Operations Research or Mathematics/Statistics

• 3+ years of relevant experience in related fields

• Use Spark and MapReduce technologies applied to machine learning

• Admin experience of SQL based databases like PostgreSQL, MySQL

• Good to have Development experience with NoSQL datastores like Cassandra, Redis, ElasticSearch

• Familiarity with AWS based solutions like EMR, ec2, RDS, Kinesis would be a plus

• Familiarity with System Administration and scripting would be a plus

• Proficient in programming languages like Python, R. Knowledge of Java, GoLang would be a bonus

• Understanding of ML algorithms such as neural networks, SVM, decision trees, boosting techniques, reinforcement learning