Senior Data Scientist (Fulfillment Interface)
Grab
Company Description
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
Get to Know the Team
The Fulfillment tech family is one of the pillars ensuring Grab out-serves our consumers and partners in different businesses and marketplaces across Southeast Asia. The Fulfillment Interface Data Science team in this tech family works towards providing ETA quotations that are both accurate and sustainable to our partners and consumers.
Get to Know the Role
We are looking for a Senior Data Scientist to build the ETA quotation system that can automatically adjust booking/order ETA in response to the dynamic and changing market conditions to achieve predetermined goals. You will report into the Senior Manager of Data Science and be based onsite in Beijing.
The Critical Tasks You Will Perform
- You will develop data processing pipelines and conduct data analyses in the ETA problem space.
- You will develop accurate and cost-efficient machine learning models for the ETA prediction.
- You will collaborate with the engineering team to deploy the machine learning models in the production environment, ensuring their smooth integration into the system.
- You will maintain the model quality by building monitors and alerts for model performance tracking, identifying model issues, and implementing improvements.
- You will create technical documents outlining the methodologies and findings of your work. You will also present solutions and explain complex concepts to non-technical team members.
Qualifications
What Essential Skills You Will Need
- You hold a Master Degree in a relevant field such as computer science, statistics, mathematics, operation research, economy, or physics.
- You have 1+ years of experience in tech companies or academic institutions, and in the following areas: statistical modeling, machine learning, deep learning.
- You are proficient in Python, SQL, and Spark, with experience writing efficient SQL queries and writing readable, maintainable and testable Python codes.
- You have a solid understanding of machine learning modeling and hands-on experience on machine learning tools such as PyTorch and XGBoost.
- You can develop data processing (Extract, Transform and Load) pipelines to support data analysis, model training, and model serving tasks.
- You are familiar with Version Control Systems such as git, git-flow, and understand the full software development life-cycle.
- You are proficient in business English writing and speaking.
Additional Information
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.
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.
