Data Scientist (Analytics)

Apply Now โ†—

About this role

Company Description

ย 

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

ย 

Get to Know the Team

The Fulfilment Tech Family is at the heart of helping Grab outserve our consumers and partners in different businesses and marketplaces across Southeast Asia. Our mission is to offer the best marketplace platform capabilities, products and experiences to our driver partners as to increase adoption and engagement of our services. We improve driver partner opportunities and efficiency to fulfil consumer orders without fail, rain or shine.

ย 

Get to Know the Role

You will be within the Fulfilment tech family, responsible for platform's effectiveness and reliability through optimizations across supply planning, dispatch strategy, pricing, driver experiences and efficiency. The team extracts data and experiment insights that directly help improve our models & develop technical products and programs, setting new benchmarks for excellence.

Reporting to Senior Analytics Manager, you'll collaborate across departments (Product, Business, Engineering, Design, and Data Science) to transform data into dynamic solutions. Your insights will directly help develop groundbreaking products and programs, setting new benchmarks for excellence. This isn't just any role; it's a chance to affect millions of lives every day.

You will work onsite at our office in Petaling Jaya.

ย 

The Critical Tasks You Will Perform

  • You will transform requirements into concise data requirements, identify trends, spot anomalies, build insights through dashboards and presentations to create comprehensive views for decision-making.
  • You will develop data pipelines and custom data science models to solve identified problems.
  • You will create data-driven hypotheses and collaborate with product and engineering teams to design experiments that inform important product decisions.
  • You will design data specifications for new products, ensuring accurate data collection.
  • You will launch A/B and timeslice experiments, analyse results, and provide relevant recommendations.
  • You will conduct targeted analysis for specific products and operations, to find new business/product opportunities, define critical business metrics, and track them rigorously.
  • You will work with partners to scope problems and enhance internal processes through automation.
  • You will build existing AI tools and capabilities to enhance overall productivity for the Analytics function

Qualifications

ย 

What Essential Skills You Will Need

  • You have 2 or more years in data-related or quantitative fields
  • You are fluent in SQL, Python, R, or other scripting/programming languages. Your comfort with very large datasets and complex Extract, Transform, and Load processes sets you apart.
  • Statistical knowledge: You have hands-on experience running and analysing controlled experiments, turning data into relevant insights.
  • You can help narrow down multiple options into the best approach, and take ownership of open-ended ambiguous business problems. Propose novel solutions that go beyond common practice
  • You have skills in designing experiments, data visualisation and storytelling. You can create intuitive and impactful dashboards using PowerBI or Tableau.
  • You can guide teams to advise senior partners.

Additional Information

ย 

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

ย 

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.

Frequently Asked Questions

Is the salary disclosed for the Data Scientist (Analytics) position at grab?
The salary for this Data Scientist (Analytics) role at grab is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Scientist (Analytics) position at grab located?
This Data Scientist (Analytics) role at grab is based in my, Petaling Jaya, Petaling Jaya, , Malaysia. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Scientist (Analytics) role at grab full-time or part-time?
This is listed as a Full time position. It is posted as a Data Scientist (Analytics) role at grab.
How do I apply for the Data Scientist (Analytics) position at grab?
Click the "Apply Now" button on this page. You will be redirected to grab's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the Data Scientist (Analytics) job at grab posted?
This Data Scientist (Analytics) position at grab was posted on Aug 6, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
Data Scientist (Analytics)
grab
Apply for this role โ†—

You'll be redirected to grab's official application page on SmartRecruiters.