Senior Data Scientist (Analytics) - FulfilmentMalaysia
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
Grab’s Fulfilment Team acts as a horizontal platform tech family with the goal of deepening fulfilment capabilities for all Grab businesses in a platform manner and providing them solutions which help connect our driver partners to Grab customers and create a highly reliable, cost efficient and faster transportation and logistics platform.
The Fulfilment Product Analytics Team advances product innovation with analytics and experimentation best practices. We ship a large number of features and that means tuning models, evaluating changes and running experiments to drive better outcomes for our driver partners and millions of customers across South East Asia. We are looking for an passionate data scientist 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 analyse 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.
You have Heart, Hunger, Honour and Humility
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
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.
Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.
Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.