Senior Data Scientist (Analytics)

Company Description

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.

Job Description

Get to know the Team:

The Platform team at Grab operates as a unified tech family, offering capabilities that enhance all of Grab's services. Our primary objectives are to ensure the safety of Grab users, prevent fraud, deliver seamless communication experiences among consumers, drivers, partner merchants, and Grab, and efficiently resolve issues raised by our stakeholders.

Our operations are divided into three essential product groups: Trust, Safety and Identity (TIS), Communications Platform, and Customer Support. The TIS team works tirelessly to maintain a secure and fraud-free platform by integrating advanced fraud detection and safety features throughout the user experience. The Communications Platform team, on the other hand, develops an internal marketing platform while ensuring seamless in-app web chatting and voice calling capabilities. Lastly, our Customer Support team is committed to promptly addressing user issues via ChatBots and our Help Center.

The Product Analytics team within the Platform group plays a pivotal role in driving product innovation through analytics and experimentation best practices. Our work involves shipping numerous features, fine-tuning models, evaluating changes, and conducting experiments to enhance outcomes for our driver partners and the millions of customers we serve across South East Asia. We're currently seeking a passionate and dedicated individual to join our growing team.

Get to know the Role:

Your role is to help product teams be more data-driven and objective, provide guidance for the design of controlled experiments and influence the direction of our product roadmap with data. You will work with product managers, engineers, designers, and business stakeholders 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.

The Day-to-Day Activities:

• Be an industry subject matter expert in using data to measure and analyze business/product performance in each of our markets and lines of business.
• Lead the exploration of business/product issues/opportunities, uncover insights and/or identify targeted areas for growth.
• Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions.
• Localize, tune in-production models to new cities / markets to enable product velocity.
• Lead expert teams to rollout effective products/services and to expand Grab’s universe of data for building richer insights.
• Provide thought leadership and generate data-driven hypotheses to solve key Product/Business problems.
• Develop mixed effect, causal inference models to understand interaction effects or product configurations that are working sub optimally.
• Build and manage anomaly detection systems to intelligently alert about slow-moving changes or sudden anomalies in product or system metrics.
• Develop analytics tools to help data teams and other disciplines be more effective at debugging, data summarization and at analysis of results.

Qualifications

• You have Heart, Hunger, Honour and Humility
• From 3+ years experience working in data-related and/or quantitative fields, preferably in the e-commerce or internet industry.
• You have a bachelor’s/master’s degree, preferably in Analytics, Statistics, Software, Mathematics, Economics, Computer Science or Engineering.
• You are proficient in SQL, Presto, ETL, Power BI, Tableau, Python, and Excel
• You have good analytical skills with the ability to collect, organise, and analyse significant amount of information with attention to detail and accuracy
• You have sound knowledge on data models, data mining and segmentation techniques
• You are self-motivated and independent learner who can manage time efficiently in fast-paced and dynamic working environment
• You have a proven track record on crafting analytics