Data Scientist (Growth)

Get to know our Team:

Grab's Data Science department 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.

The Growth team at Grab strategizes and executes on step-changing growth initiatives through data-driven approaches and rapid A/B testing, and owns the conception, execution, and experimentation of products, features and engineering systems that drive this mandate.

This position reports into the Data Science department.

Get to know the Role:

• Develop a deep understanding and intuition of our users’ interests and behavior
• Translate these intuitions into actionable, creative insights that produce heuristics or statistical models to identify opportunities for sustainable rapid growth
• Test and validate these models via rapid deployment and experimentation
• Manage and own the entire end-to-end lifecycle of model design, integration with engineering, and maintenance
• Interface with business and operation teams to formulate solutions and product changes informed by your findings

The must haves:

• Strong understanding and implementation experience in predictive modeling algorithms such as logistic regression, neural networks, and decision trees, including familiarity dealing with the trade-offs between model performance and business needs
• Proficiency wrangling data from SQL or NoSQL sources and performing statistical modeling in languages like Python, Scala, Java, R, or Julia
• Ability to collaborate with other teams and functions to deliver impactful solutions to the organisation
• An attitude of self-motivation, effective time management, and the ability to operate in a dynamic and fast-paced working environment

Really nice to haves:

• Previous experience as a growth hacker in a startup or tech company
• Experience building distributed ML pipelines using Spark/Hadoop
• Knowledge in graph databases, NLP, Deep Learning (CNN, RNN/LSTM), or graphical models (HMM, CRF)
• Recent programming experience in a production environment

Get to know Grab:

Grab is more than just the leading ride-hailing and mobile payments platform in Southeast Asia. We use data and technology to improve everything from transportation to payments and financial services across a region of more than 620 million people. We work with governments, drivers, passengers, merchants, and the community, to solve critical problems in Southeast Asia.

Grab began as a taxi-hailing app in 2012, but we have since extended our product platform to include GrabCar, GrabShare, GrabBike, GrabHitch, GrabExpress, GrabFood, GrabCoach, GrabShuttle, GrabCycle. We recently launched our fintech platform – GrabFinancial, which consists of payments, lending and insurance. Our latest addition is GrabVentures, an in-house incubation platform. We are focused on pioneering new commuting and payment alternatives for drivers and passengers with an emphasis on convenience, safety, and reliability. Currently, we offer services in 8 countries. Our R&D offices are in Singapore, Seattle, Beijing, Bangalore, Jakarta and Vietnam. We aspire to unlock the true potential of Southeast Asia and look for like-minded individuals to join us on this ride.

If you share our vision of driving South East Asia forward, apply to join our team today.