Senior Data Scientist-SREI-Singapore

Job description

Department: Security & Risk Management
Location: Singapore
Job Description
The Lazada Security, Risk and Enterprise Intelligence (SREI) organization is responsible for protecting the eCommerce activities of over 560 million consumers, more than 155,000 sellers, and the 3,000 brands on Lazada’s growing ecosystem. To provide a sustainable and healthy platform for all parties, we’re increasing our investment in data and algorithms, and significantly expanding our data scientist team – this is a chance to be part of and shape the future of a strategic group within Lazada.

We are looking for a senior data scientist to join our team to tackle challenging machine learning problems related to risk management and fraud prevention. You will work alongside various teams to understand their different strategies and requirements and drive the core algorithms for business success.
The ideal candidate will be very hands-on and will dive deep into the root causes of any issues and blockers. You will have the chance to drive the whole life-cycle of machine learning projects, from problem defining, data processing, model building, deployment and evaluation. At your level, you will be partnering and collaborating with PICs across functions to lead specific projects.

Job Responsibilities
1. Develop a deep understanding and knowledge of our business to lead and build an end-to-end machine learning or statistical models in the areas such as seller fraud, seller-buyer collusion, fulfilment fraud, voucher abuse, etc.
2. Analyze large scale of datasets and work with business teams to build both supervised and un-supervised anomaly detection algorithms
3. Continually improve algorithms to adapt to evolving business requirements, and ensuring high efficiency, scalability as well as good coding style.
4. Regular communications across teams/functions and updates to relevant stakeholders on the progress of the project.
5. Work as both a team member and tech lead to coach our junior data scientists
Job Requirements
1. Master’s degree or PhD in Computer science, Math, Statistics or related fields
2. At least 5 years of experience in applying analytical modelling to solve business problems
3. Have a solid theoretical foundation and relevant work experience in one or more of the following machine learning models: ensemble models, deep learning models in NLP, GNN, CNN domains
4. Practical experiences in popular machine learning frameworks, for example, scikit-learn, Pytorch or TensorFlow.
5. Hands-on deep learning model deployment and optimization experience to support real-time and low latency requirements.
6. Proficient in at least one programming language; Proficient in using SQL, Python, and other tools
7. Excellent written and verbal communication.
8. Ability to manage ambiguity and thrive in a fast-paced working environment.
9. Experience in the Risk, Fraud, or Trust & Safety domain is a plus

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