Data Scientist (Analytics)
Grab
- Jakarta
- Permanent
- Full-time
- GFG Analytics team supports the GFG product and business org. Data Scientists (Analytics) are part of one or more tech families - Fin Core, Fin Experience, Fin Identity, Payments, Financial Services (Invest, Insure & Lending).
- We care about deeply understanding how users experience the Product and partner with Business, Product, Design, and Tech to focus on the right outcomes and feature set
- We remain integral to the product development process from understanding user journeys with UX designers to hypothesis development, right through to post rollout optimization
- Use data to understand user needs - be the de-facto Voice of the Customer (users, driver-partners, merchants, agents, etc) for all GFG teams.
- Leverage data for further insights to launch and improve goods and services on GrabPay wallet and scale it to multiple financial services.
- Champion data-driven decision-making and culture in Grab Financial Group
- Partner with Product Managers, Business Owners, UX Designers, and Engineering to design and deliver analytical projects that help support the GFG Product roadmap
- Provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems
- Design, measure and recommend A/B tests and multivariate experiments on the platform, including, but not limited to layout optimization, UI/UX efficacy, contextualization, algorithm effectiveness, API effectiveness, etc.,
- Mine clickstream and transactional data to drive GFG product metrics through a deep understanding of user behavior i.e. consumers, driver-partners, merchants, etc.
- Implement, own and manage all instrumentation for all feature releases within the assigned tech families within GFG
- Produce segmented views of our customers, merchants for our business, and product stakeholders to drive product iterations and improvements
- Successfully provide reliable and on-time deliverables to meet individual stakeholder needs
- Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment
- Bachelors or Masters degree in Statistics, Analytics, Economics, Mathematics, Engineering, or other quantitative subjects
- 3+ years experience in Analytics, Business Intelligence or Data Science role, preferably in an Internet or E-Commerce company with large, complex, high-velocity data
- Advanced SQL writing skills and experience in querying large relational databases
- Ability to distill data and articulate an actionable point of view to non-technical audiences and senior stakeholders using presentations, interactive visualizations, et al.
- Ability to handle multiple priorities and solve ambiguous problems in a fast-paced environment
- Hands-on experience with data analysis/programming tools like R or Python and Data Visualization platforms like Tableau / PowerBI / D3.js, etc.,
- Experience with designing, running, and analyzing A/B tests and product experiments. Should also have an understanding of hypothesis testing and the basic principles of DoE