Lead Data Scientist (Analytics) - Transaction Platform

Company Description

About Grab

Grab is the leading superapp platform in Southeast Asia, providing everyday services that matter to consumers. Today, the Grab app has been downloaded onto millions of mobile devices, giving users access to over 9 million drivers, merchants, and agents. Grab offers a wide range of on-demand services in the region, including mobility, food, package and grocery delivery services, mobile payments, and financial services across 428 cities in eight countries.

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.

Grab’s mission is to “Drive economic growth by building a platform that helps people discover, engage, and connect with the best businesses in Southeast Asia.” 

Job Description

Get to know our Team
We focus on humanizing big data, being a bridge between the technical and operational side of business and using data in order to align with strategic goals. If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit. In the Product Analytics org, you will work on all kinds of problems from discovery to experimentation to using insights for influencing product direction.

Transaction Platform plays a vital role in facilitating the seamless processing of multi-sided marketplace transactions, a critical function encompassing Grab’s core vertical businesses (e.g. Transport, Food, Mart, Express, Ads, etc.). It is designed to achieve two pivotal objectives integral to Grab's mission: For Businesses: Empower every business in SEA to be able to efficiently and reliably manage their transactions, encompassing orders and payments, within the Grab ecosystem. For Grab: Help verticals in innovating and implementing multi-sided transaction workflow and payments with minimal tech investment

Your role is to guide a data-first approach to product thinking, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new and innovative product and business ideas! You will help developers, designers & product managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.
Get to know the Role
You will be working closely with various teams within a business line (Product, Business, Engineering, Design and Data Science) to understand data requirements, identify and track key metrics, and provide data-driven insights. You will also work with stakeholders to evaluate the feasibility of new business/product ideas and provide appropriate recommendations.

Qualifications

The Day-to-Day Activities

• Understand business objectives and deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems

• Use data to identify trends, spot anomalies and delve deeper into their root causes

• Use your number-crunching and slide-maker skills to use and present data beyond just numbers. Hone your data storytelling skills through visualization techniques by building dashboards and presenting insights to a non-technical audience!

• Discuss and align with stakeholders on key product metrics, design and propose experimentation strategies

• Launch A/B tests, analyze experiment results and provide recommendations

• Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection

• Develop and maintain data pipelines to fulfill product reporting requirements

• Mentor junior team members, supporting their professional development in both hard and soft skills

• Identify frequently occurring hypotheses and problem statements that can be generalized into common patterns. Develop scalable analytical frameworks and solutions to allow for solving repetitive problems in a more efficient manner

• Role-model high standards of rigor in how we do measurements, experimentation, analyses and recommendations. Safeguard the integrity of how data is used and understood to ensure we maintain objectivity in our reasoning, actions and decision making

• Evaluate the feasibility of developing new products, participate in user researches to validate customer problems

Candidate Must-Haves

• 6+ years of experience working in data-related and/or quantitative fields, including but not limited to Analytics and Applied Data Science

• Fluent with SQL, Python or other scripting/programming languages to problem-solve. Experienced working with very large datasets

• Strong data visualization and storytelling skills. Experience in creating dashboards using PowerBI / Superset / Tableau or other visualization tools

• Exposure to data pipeline creation and data engineering tools such as Airflow, Presto, Databricks etc

• Effective communication and collaboration skills and the ability to present complex subjects coherently to diverse audiences comprising generalists and specialists

• Self-motivator and an ability to learn independently

• 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

• A culture role model of our 4Hs: Honour, Humility, Hunger and Heart

• Experience with designing, conducting and analyzing controlled A/B experiments

Candidate Nice-to-Haves

• Relevant industry experience (preferably in an Internet or ‘Direct to Consumer’ company with high velocity data and scaled controlled experiments) and/or prior experience with Product Management or business-facing operations will be a plus

• Prior experience with supervised (eg : predictive modeling - regressions/classifications) and unsupervised (eg : clustering, segmentation) ML algorithms

Additional Information

Our Commitment

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.