Data Scientist(Campus Hiring) Permanent NEW

The Lazada Algorithm team is a young and enthusiastic team comprising of experienced data scientists and machine learning engineers. Leveraging data-driven insights and Alibaba’s Research & Development platform, we provide intelligent recommendations and furnish business insights to tackle complex real-world business challenges.

As an Algorithm Engineer at Lazada, you will apply different techniques such as deep learning, reinforcement learning, natural language processing and operational research to drive and equip Lazada with the right strategies to best position ourselves in the market and to enhance platform growth. You will work alongside various teams to understand their different strategies and requirements.

The ideal candidate will be very hands-on and will dive deep into the root causes of any issues and blockers. You will be and responsible for building algorithms specific to the domain that you will be assigned to.

1) Seller & Operation Business: including campaign product selection, pricing, product tagging, matching and recommendation, etc. to boost seller and platform growth.

2) Promotion Business: including the design, development and optimization of promotion scheme generation, promotion recommendation, promotion distribution, performance prediction and analysis.

3) Logistics Business: including smart routing, parcel volume prediction, manpower smart scheduling, and corresponding deep algorithm optimizations for first mile, last mile and long haul.

Other activities which you will be involved in include:

• Keeping up to date with the state-of-the-art research and integrated applications on deep learning, recommendation, optimization, reinforcement learning, amongst others.
• Continually improving algorithms to adapt to evolving business requirements, and ensuring high efficiency, scalability as well as good coding style.
• Regular communication across teams/functions and updates to relevant stakeholders on progress of projects

• Graduated with PhD in Computer Science, Operations Research, Statistics, Mathematics, or equivalent fields.

• Solid theoretical foundations in at least one of the following: machine learning, natural language processing, personalised search & recommendation, user/seller behaviour modelling, sales prediction, knowledge graph and representation, marketing algorithms or large-scale data analysis/platforms. Related project experiences in any of the above is a plus.
• Fluent programming skills in at least one core programming language: SQL, Java or Python.
• Demonstrate ability to generate new ideas and innovations
• Good interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to stakeholders