Senior Data Scientist (Analytics)

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

We drive innovation and operational excellence by turning data into actionable strategies that elevate the end-to-end experience for consumers, driver-partners, and merchant-partners. From optimizing transaction flows and platform efficiency to enhancing reliability, we strive to make Grab the first choice, every time.

Get to Know the Role

You will be responsible for all matters related to data ETL, creation of dashboards and development of data driven insights. In addition, you will provide day to day data support to the Transformation and Strategy Office team. You will collaborate closely with cross-functional teams including Corporate Strategy, Finance, and Analytics, as well as other key business units. In this role, you are expected to contribute to strategic planning and data-driven insights that support business growth and decision-making. Your work will involve translating analytical findings into actionable recommendations, aligning initiatives across teams, and ensuring strategic priorities are executed effectively to drive organizational impact. You will be directly report to the manager. The role will based onsite.

The Critical Tasks You Will Perform

• 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 business growth.
• Localize, tune in-production models to new cities / markets to enable product velocity.
• 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 slow-moving changes or sudden anomalies in product or system metrics.
• Develop analytics tools to help data teams and other disciplines be more at debugging, data summarization and at analysis of results.

Qualifications

What Essential Skills You Will Need

• 4+ years of experience, preferably in the e-commerce or the Internet industry.
• A minimum of Bachelor's/Master's degree, in Analytics, Statistics, Software, Mathematics, Economics, Computer Science or Engineering
• Experience in foundation in data query/manipulation using SQL and data visualization tools (PowerBI).
• Strong statistical knowledge - ideally having utilized controlled experiments in the industry.
• Able to speak and write Both in Bahasa & English

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.