Role Overview
Join our Demand and Personalization Data Science team to develop, deploy, and operate production-grade ranking and recommendation models. You’ll collaborate with senior data scientists, product managers, and software engineers to own models end-to-end.
What You Will Do
Design, optimize, and maintain training-data and feature extraction pipelines, formulate new user and merchant personalization signals, and collaborate with Engineering to design, deploy, and scale real-time recommendation services.
Why It Might Be a Fit
If you’re passionate about solving high-stakes marketplace algorithms at consumer scale, we invite you to apply.
Requirements
- At least 1 year of hands-on industry experience as a Data Scientist or Machine Learning Engineer
- Demonstrated experience with learning-to-rank algorithms, CTR/CVR prediction, relevance modelling, or two-tower retrieval architectures
- Experience with offline ranking evaluation metrics and online A/B tests
- Programming proficiency in Python and SQL, with at least 1 year of practical experience building and debugging production pipelines using Apache Spark and Airflow
Benefits
- Term Life Insurance
- Comprehensive Medical Insurance
- GrabFlex (create a benefits package that suits your needs and aspirations)
- Parental and Birthday leave
- Love-all-Serve-all (LASA) volunteering leave
- Confidential Grabber Assistance Programme
- FlexWork arrangements (differentiated hours)
To apply for this job please visit jobs.smartrecruiters.com.
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