Nơi làm việc: Singapore
Mức lương:
Ngành nghề: CNTT - Phần mềm
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.
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, Shuttle and on-demand bus routing and scheduling, Multi-modal transport, Geospatial data mining, etc.
This position reports into the data science department.
Get to know the Role:
Develop a deep understanding and intuition for growth strategies, acquisitions, and process optimization
Translate these intuitions into actionable, creative insights that produces heuristic or classification models to identify opportunities for sustainable rapid growth
Manage and own the entire end-to-end lifecycle of designing models, working with Engineering for implementation, to maintenance and enforcement
Interface with business and operation teams to formulate solutions and product changes informed by your findings
Work independently or with other teams to solve complex problem statements
The day-to-day activities:
Test and validate these insights via rapid experimentation and deployment
The must haves:
Proficient in RDBMS such as PostgresQL or MySQL; and statistical programming in languages like R, Python, Java, C++ or SAS
Experience in ETL, feature selections, modeling, model validation and conducting data analyses using R, SQL, Python or any JVM languages
Strong understanding and implementation experience of predictive modeling algorithms such as logistic regression, neural networks, forward propagation, decision trees and heuristic models, with familiarity dealing with trade offs between model performance and business needs
Experience in interfacing with other teams and departments to deliver impact solutions for organisation
Self-motivated, independent learner, and enjoy sharing knowledge with team members
Detail-oriented and efficient time manager in a dynamic and fast-paced working environment
Really nice to haves:
Previous experience as a growth hacker in a startup or tech company is a plus
Experience in geospatial databases or graph databases
Recent programming experience in a production environment
Experience in Scala or PySpark on distributed systems
Interest in working with MapReduce technologies (such as Hadoop / Spark)
Familiarity with Python Scikit Learn, Panda or Spark ML/Mllib is a plus
Experience with AWS stack
Grab Vietnam