Grabtaxi holdings pte ltd

Senior Economist (Data Scientist) / Assistant Mana...

Job description

Get to know the team
How can we entice consumers to try Grab services they haven't used before?
Why do consumers prefer discounts on delivery fees in Jakarta but they respond better to discounts on food items in Bangkok?
Which product feature should we build next to capture the next phase of consumer growth?
The Regional Demand Optimisation team takes on a set of diverse and challenging questions in the mobility, logistics and economics space within Grab. We focus on balancing Grab's multi-sided marketplace across our ecosystem of driver-partners, consumers, merchant partners, and agents. Our work sees us optimize experiences for our consumers, contributes to providing growing income opportunities for our driver-partners and merchants, and drives growth and profitability for Grab overall.
The team is based in Singapore and works with tech teams and operations teams across all of our 8 markets in Southeast Asia. Our core work covers consumer retention and demand generation initiatives - but our scope frequently expands to tackle issues beyond these topics.
Get to know the role
In this role you will be working closely with Grab product teams, other regional teams based in Singapore, and country operations teams on the ground.

Your responsibilities will include:
Providing strategic advice & thought leadership on business-critical issues through analysis paired with structured, big picture thinking.

Acting as a Business Owner for some of Grab's products - Shaping the direction of our tech roadmap with a hyper-local understanding of our markets, and by making yourself the regional expert on a set of product features and how they interact with the wider ecosystem.

Supporting our local teams in launching new features in the market and optimising existing features through experimentation, causal inferencing or other suitable analytical methods.

The day-to-day activities:
Working with local teams to plan and design experiments for driving demand to the Grab platform (e.g. via changes in pricing or promotions).

Running data-driven research to uncover new insights to inform product strategy, operational initiatives or changes in existing product configurations.

Conducting independent analysis of marketplace issues identified in a specific market delivering insights & recommendations to our ops teams to balance such issues.

Sharing a recent piece of analysis or details of a new product with the rest of the team to provide coaching to help with similar projects.

Presenting a strategic opportunity assessment & analysis to leadership teams.

Writing a playbook to be used by operations teams that provides a mental model and documentation to tackle common marketplace situations supported by qualitative and/or quantitative insights.

Working with product managers and product analysts to impact- and prioritize product feature lists for our next development sprints and support them in consolidating pain-points & requests.

Identifying product gaps proactively based on your understanding of the product and markets, and getting buy-in from relevant stakeholders.

The must-haves:
At least 4 years of relevant work experience (for example in Analytics, Business Intelligence, Government, Management Consulting, or strategy roles in a tech company)

Prior experience with designing, running and analyzing A/B tests or randomized controlled experiments.

Strong presentation skills - Ability to distill insights & articulate an actionable point of view to non-technical audiences Comfortable presenting to senior stakeholders Good command of storytelling and presentation techniques (e.g. slide making, data visualization).

Strong analytical knowledge - Prior experience in handling large, complex, high-velocity data familiar with common statistical techniques willing to continue to learn/apply new techniques as required.

Convincing meeting presence and strong stakeholder management/influencing skills - Ability to get buy-in and drive decisions within the space of a meeting.

Problem-solving & can-do attitude - Willing to learn quickly and understand the root cause of problems able to work with a multidisciplinary team to propose creative solutions.

Ability to handle multiple priorities and solve ambiguous problems that may evolve in scope or complexity.

Good understanding of SQL and R/Python to work with data, including common packages/libraries.

Willing to travel (subject to travel guidance by Grab)

Good to have:
Bachelor's or Master's degree in Economics, Finance, Psychology, Anthropology, Sociology, Computer Science, Data Science or related fields.

Interest and experience in real-world applications of data science and data analytics - such as NLP, ML, Network analysis, spatial, econometrics or time-series analysis.

Prior experience in Product Management.

Prior experience in an operations role in a 'direct to consumer', online business or startup.

Get to know the team
How can we entice consumers to try Grab services they haven't used before?
Why do consumers prefer discounts on delivery fees in Jakarta but they respond better to discounts on food items in Bangkok?
Which product feature should

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