Senior Economist (Data Scientist) - Mobility & Del...

Company:
Location: Outram

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Get to know our Team:

  • The Economics team takes on some of the most challenging and fascinating problems at Grab, in Payments, Advertising, Transport, Deliveries and the space around. We apply both qualitative and quantitative techniques to turn data into actions that have a positive impact on our customers, drivers and merchants. We promote 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:

  • This role focuses on the mobility and deliveries businesses, but offers opportunities for exposure to a wide range of Grab verticals. We are always looking to deepen our understanding of our consumers, drivers and merchants to serve them better, and drive business growth and profitability via close collaboration with other regional and country teams.
  • Collaborative projects across teams are common, with opportunities to work across business verticals and with different regional and country teams. These projects often require a combination of data analysis, strategic thinking and idea generation.

The day-to-day activities:

  • Develop a deep, data-driven understanding of our passengers, drivers, and merchants based on econometric analysis, geo-spatial visualizations, user interviews and other analytical methods.
  • Combine that with contextual and cultural understanding of our business lines in regional markets.
  • Translate this understanding into actionable, creative insights that improve the user experience, strengthen the value proposition and drive profitable growth.
  • Test and validate insights via rapid experimentation and deployment, working effectively with country, tech and product teams to scale-up and deploy products/product features based on the validated insights.

The must-haves:

  • At least 2-3 years of work experience in Finance, Economics, Psychology, Anthropology, Sociology, Computer Science, or related fields
  • Strong foundation in data query/manipulation using SQL
  • Strong foundation in data analysis using R or Python
  • Effective communication and collaboration skills and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists
  • Ability to quickly grasp the fundamentals of a variety of businesses through a strong understanding of economic principles
  • Self-motivation and an ability to learn independently

The good-to-haves:

  • Previous experience in experiment design and causal inference
  • Previous experience managing a diverse group of stakeholders
  • A balance of right-brain and left-brain competencies, spanning a keen appreciation of human behaviour (e.g. deep interests in economics, sociology, anthropology and/or psychology), to data-driven analysis (e.g. randomised control trials, econometric tools)
  • An eye for both detail and the bigger picture, including the awareness to know which to focus on at any given time given project requirements

*** Mention DataYoshi when applying ***

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