Data Science Lead
4 days ago
About Us
At Grab, our mission is to drive Southeast Asia forward by economically empowering everyone with heart, hunger, honour, and humility. Our superapp offers a wide range of services from food delivery to financial management.
The Fulfilment Tech Family is a key part of our ecosystem, enabling us to provide excellent customer experiences and improve driver partner opportunities. As a data-driven team, we use analytics to inform business decisions and create efficient marketplaces.
We are seeking a skilled Data Scientist to join our team. In this role, you will work closely with cross-functional teams to understand data requirements, identify key metrics, and provide actionable insights. Your expertise in data storytelling will help stakeholders make informed decisions, and your ability to influence will drive significant improvements across our platforms.
Critical Tasks
- You will innovate: Propose cutting-edge product ideas by diving deep into data, addressing the most pressing customer challenges.
- You will illuminate: Use your mastery of data to uncover trends, decode anomalies, and tell compelling stories that inspire action.
- You will Influence: Collaborate with stakeholders to define key metrics and design experiments that shape the future of our products.
- You will drive impact: Drive significant improvements across our platforms, enhancing user experience, and contributing to our mission of excellence.
Required Skills and Qualifications
- You have at least 6 years in data-related or quantitative fields, with experience within D2C or B2C context such as Marketplaces, ECommerce, OmniCommerce, Retail Marketing Analytics, etc.
- You can help solve complex problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice.
- You are an expert in data storytelling, and adept at creating intuitive and impactful dashboards using PowerBI or Tableau.
- You are fluent in SQL, Python, R, or other scripting/programming languages, and you are comfortable with large datasets and ETL processes.
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