Senior Data Scientist (Analytics)
Location
Bangalore | India
Job description
Company Description
About Grab and our workplace 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.
Job Description Life at Grab At Grab, every Grabber is 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. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
Get to Know the Team The GFG Analytics team supports the GFG product and business org. Data Scientists (Analytics) are part of the Payment Tech Family (Payments Experience, Payments Core). If you are looking for an intellectually stimulating and complex challenge, then you should join our team!
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.
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, gender identity or sexual orientation, and other attributes that make each Grabber unique.
Qualifications The Must-Haves - For Senior Data Scientist (Analytics) 3+ 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.
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