Lead Causal Inference: Deploy uplift models and causal inference frameworks to maximise promotional incrementality.
Optimise Auctions: Improve ads auction mechanics and budget allocation to balance ecosystem health and platform ROI.
Experimentation and Metrics: Design frameworks (A/B testing, switchback, bandits) evaluating CTR, CVR, and incremental GMV.
Collaborate: Partner with Product and Engineering to translate marketplace challenges into clear data science roadmaps.
What Essential Skills You Will Need
Qualification: Bachelor's Degree in Computer Science or related fields
Experience: At least 4 years as a Data Scientist in ads ranking, recommendation, uplift modelling, or marketplace optimization.
Methodology: Expertise in causal inference, uplift modelling, experimental design, or ads auction theory.
Foundations: statistical modelling, machine learning, and mathematical optimization foundations.
Tools: Proficiency in Python, SQL, and distributed data frameworks like Spark for large-scale datasets.
Communication: Ability to translate complex concepts and bring structural clarity to open-ended product problems.
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 enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
