Portfolio Company Careers

Discover opportunities across our network of values-driven companies!
Sovereign’s Capital
Sovereign’s Capital

Senior Data Scientist (Marketplace & Growth)Indonesia



Sales & Business Development, Data Science
Posted on Wednesday, August 9, 2023

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

A diverse and close-knit team, with backgrounds ranging from economics, computer science, mathematics and business. We work closely to understand and quickly address business needs through a combination of data, observation, intuition, and rapid experimentation. We set high expectations for ourselves and we strongly support the freedom to explore and innovate.

Get to know the Role

What is the right price for a GrabCar from Setiabudi to Tangerang? How much should a driver earn from GrabFood vs GrabBike? How should we segment users and nudge them in targeted ways? The team takes on some of the most challenging and fascinating problems in transport, food, financial services, logistics, and the space around. The team applies both qualitative and quantitative techniques to address problems and develop strategies to match supply and demand for an efficient marketplace. You will need to lead, manage and quality assure the work of a team of economists and analysts answering these questions.

The Day-to-Day Activities

  • Using SQL and Python to deep dive into the data and answer complex business questions

  • Use visualization libraries like plotly, seaborn, matplotlib to visualize key insights from rich data

  • Build simulation tools combining python and google sheets to enable decision makers test different business scenarios

  • Use statistical techniques & methodologies to design and analyze various experiments

  • Build dashboards using Tableau/Power BI/Python to monitor business performance & insights

  • Discuss with stakeholders about business problems, then translate it into specific analytical steps and solution

  • Write analytical reports in docs and slides to articulate the study findings and insights

  • Present analysis findings to business stakeholders; facilitate business discussion driven by data & analytics

The Must-Haves

  • Bachelor’s degree in Economics/Computer Science/MIS/Industrial Engineering/Mathematics/other quantitative disciplines

  • Work experience between 2-5 years. Fresh graduates with stellar academic (GPA > 3.7) & extracurricular achievements are encouraged!

  • Participation in math/science/programming/business case study competitions is a plus

  • SQL, Python/R skills will be advantageous, but not mandatory for strong candidates. Do share if you have portfolio of projects

  • Intellectual curiosity and willingness to continuously learn

  • Structured problem solving and ability to connect the dots to derive insights

  • Good communication skills - the candidate is expected to write analysis reports and present to business stakeholders

  • Empathy to our partners (drivers, merchants, customers, business stakeholders) to connect between the analytical and real world reality

Our Commitment

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.

Forward together

Follow us and keep updated!

Equal opportunity

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.

Recruitment agencies

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.