Senior Data Scientist
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Job Location:
Monthly Salary:
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
Get to Know the Team
Youll be part of the SNP Data Science Personalization team an established group dedicated to enhancing personalization experiences for Grab Food/Mart/Transport. We aim to develop cutting-edge Deep Learning models to deliver best user experiences. Our team comprises passionate Data Scientists with various expertise. If personalization and recommendation challenges excite you wed love to have you join us!
Get to Know the Role
As a Senior Data Scientist you will lead the solution and implementation of context-based Transport user understanding including but not limited to feature engineering for Transport user profiles of price/promo/taxi type preferences/ the current context (e.g. location/time/funnel). In addition you will lead the solution and implementation of enhanced Transport personalization and Taxi Type ranking (include model training and model serving) for Grabs Mobility vertical with auto-adaptive capabilities. Your important work contributes significantly to Grabs growth.
You will be based onsite at Grab Singapore One North office and report to the Senior Data Science Manager.
The Critical Tasks You Will Perform
- You will process large-scale datasets for model development and training.
- You will design and implement efficient scalable machine learning and deep learning algorithms.
- You will evaluate how algorithms perform to improve relevance and personalization.
- You will deploy models to production environments focusing on robustness and maintainability.
- You will run A/B tests to assess model performance troubleshoot issues and pinpoint opportunities for improvement.
- You will keep up with recent advances in User Understanding Recommendation ranking model and LLMs.
- You will work closely with backend engineers product managers analysts and UX designers.
Qualifications :
What Essential Skills You Will Need
- You have a Bachelors degree in Computer Science Electrical/ Computer Engineering or a related technical field.
- You have at least 2 years of experience applying deep learning in domains like User Understanding Recommendation Systems or LLMs.
- You can develop and deploy large-scale machine learning solutions.
- You can translate requirements into technical solutions.
- You have expertise in frameworks like TensorFlow or PyTorch.
- You have software development abilities in Python.
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 lifes challenges.
- Balancing personal commitments and lifes 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.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
About Grab and Our WorkplaceGrab 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, w ... View more
