Senior Data Scientist (Analytics) - Transaction Platform

About Grab 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 report to the Product Analytics Manager, TP and will have the unique opportunity to collaborate across disciplines (Product, Business, Engineering, Design, Data Science) to transform data into dynamic solutions. Your insights will directly contribute to developing groundbreaking products and initiatives, setting new benchmarks for excellence. This isn’t just any role; it’s a chance to make a tangible impact on millions of lives every day. You will report to Analytics Manager and be based in the Jakarta office.

Critical Tasks You Will Perform

Understand requirements and outcomes to ensure data‑driven decision‑making.

Conduct tailored analyses for specific products and operations, define critical business metrics, track them rigorously, and recommend continuous improvements.

Frame business scenarios and propose features that impact critical business processes and decisions.

Transform requirements into concise insights through reports, presentations, and dashboards, and consolidate data from multiple sources to create comprehensive views for decision‑making.

Develop data pipelines and custom data‑science models to solve identified problems.

Launch A/B tests, analyse the results, and provide recommendations based on findings.

Qualifications Essential Skills You Will Need

At least 4 years of experience in data‑related or quantitative fields such as analytics, science, statistics, or mathematics.

Fluent with SQL, Python, R, or other scripting/programming languages.

Experience handling large datasets and maintaining complex ETL processes.

Solid statistical knowledge and hands‑on experience running and analysing controlled experiments.

Proficient in creating dashboards using Tableau, PowerBI, or other visualisation tools.

Life at Grab

Term Life Insurance and comprehensive Medical Insurance.

GrabFlex, a flexible benefits package that suits your needs and aspirations.

Parental and Birthday leave, and volunteering leave for giving back to communities.

Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.

FlexWork arrangements such as differentiated hours to balance personal commitments.

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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Technology, Information and Internet

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