Make A Real Difference At PropertyGuru.
Real Aspirations. Real People. Real impact.
At PropertyGuru Group, we believe that every person – no matter what their circumstance – should have a place to call home. That’s why we’ve been on a mission to transform how people find, finance, and own home across Southeast Asia over the last 13 years.
Voted by property seekers as “Asia’s Most Influential Brand for Online Property Search”, PropertyGuru enables real-world aspirations through digital transformation and constant innovation. Every day, the work that we do has a real and positive impact on thousands of lives.
As an employee, you’ll be empowered by our community work culture, where everyone has the autonomy, support, and resources to do the best work of their careers. As we evolve our journey to help people make confident property decisions, we stay true to our core values to guide the way we work and the decisions we make every step of the way: we own it and deliver it, we have fun and celebrate success, we respect and care for each other, we push beyond good, and we create what’s next.
For a full listing of our jobs, visit https://careers.propertygurugroup.com.
About the role:
As a senior data scientist, you will be part of one of Southeast Asia’s strongest technology teams working on high impact data science project. In this role, you will lead the research and execution of data science project, working with massive, interesting data, and turn them into our key competency.
Our websites attract more than 100 million monthly page-views which results in non-stop massive clickstream for behaviour data with around 130M of users\; we also have the most comprehensive data for property supply and demand in Southeast Asia. Are you ready to turn our massive data into superior consumer satisfaction and remarkable business growth?
You will be part of the Data Science and Analytics (DSA) team. This team is currently comprised of 5 data analysts, 1 data scientist and 3 data engineers who are from 5 different countries. Our team members are all based out of Singapore and support the regional business needs. Our team has been working on some very interesting problems from search optimization, recommendations, computer vision, natural language processing and reinforcement learning to push the business metrics to their bounds. You get to work closely with the team members on various projects besides the business teams.
The senior data scientist will be responsible to setting and implementing various data products to help with the monetization efforts, which includes work in time series regression and classical reinforcement techniques. You will also be responsible for the end to end implementation of the products and ensure that they are scalable. As we grow the team, you will be responsible for recruiting a high calibre data scientist to support the monetization and personalization initiatives.
You will also liaise with product owner and the engineering team to deliver the product and analyse the performance of data science projects and continuously improve.
Internally we use PyTorch as our key deep learning library while sci-kit learn, XGBoost, LightGBM, Prophet, do find their way in various applications. We have our own classical reinforcement learning library that we use for various optimization experiments. Our deployments are mostly on AWS Lambda, but a handful of applications are deployed with docker.
We are constantly trying to push the boundaries and to help identify various pain points to drive product development and improve the personalization experience for our consumers.
PropertyGuru Group is an equal opportunity employer committed to fostering an inclusive, innovative and learning environment with the best employees. Therefore, we provide employment opportunities without regard to gender, identity, race, religion, nationality, age, marital status, disability, or any other protected status, per applicable law. If there is anything we can do to help ensure you have a comfortable and positive interview experience, please let us know.
Advertised: 01 Apr 2021 Singapore Standard Time