Portfolio Company Careers

Discover opportunities across our network of values-driven companies!
Sovereign’s Capital
Sovereign’s Capital
50
companies
693
Jobs

Senior Data Scientist (Analytics)

Grab

Grab

Data Science
Jakarta, Indonesia
Posted on Tuesday, June 11, 2024

Company Description

About Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

Guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles—the 4Hs: Heart, Hunger, Honour and Humility—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

With a vision to become the best mobile financial services platform for SEA people: to live, earn, and play - Grab Financial Group is one of the largest and fastest-growing fintech players in the region. Enabled with a relentless pursuit for excellence, we aim to deliver the smoothest and most relevant financial services across payments, lending, insurance, and investments in the region.

Get to know our Team:

  • 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

Job Description

Get to know the Role:

We are looking for a Data Scientist (Analytics) / Senior Data Scientist (Analytics) to drive key analytical initiatives for the GFG Analytics team at Grab. 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. We provide thought leadership and generate data-driven hypotheses to solve key Product and Business problems.

The day-to-day activities:

  • 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
  • Problem-solve with the right balance of rigor, technical complexity, and explainability, keeping in mind the practical constraints of our real-world business and operations.
  • Define and align with stakeholders on key metrics, design, and propose experimentation strategies.
  • Build and maintain self-serve solutions for stakeholder groups that are scalable and automated to handle a dynamic product environment
  • Develop and uphold best practices with respect to change management, documentation, and data protocols.

Qualifications

  • For Senior Data Scientist (Analytics) 5+ years experience working in data-related and/or quantitative fields, preferably in the e-commerce or internet industry.
  • For Data Scientist (Analytics): Some Analytics experience and a strong business acumen, preferably in the e-commerce or internet industry.
  • Strong data visualization and storytelling skills. Experience in creating dashboards using Tableau and other visualization tools. Knowledge of Azure tool stack (Databricks, PowerBI, Azure Data Explorer) will be a plus.
  • Fluent with SQL, Python, R or other scripting/programming languages for problem-solving. Experienced with working with very large datasets.
  • Ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision-making while maintaining high attention to detail.
  • Self-starter, principled, and driven to do the right thing for an organization. Able to operate very independently with a high degree of ambiguity; a person who enjoys and learns from experimentation.
  • Quantitative discipline with strong business sense and ability to articulate complex analysis results to a wide range of audiences, and translate these to actionable business insights. Primarily driven by quantitative outcomes for all decision-making.
  • Strong statistical knowledge with hands-on experience running and analyzing controlled experiments will be a plus.

Additional Information

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age and other attributes that make each Grabber unique.

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.