We are looking for scientists who are passionate about data and want to apply advanced AI/ML techniques to solve real-world
problems.
Our team identifies and solves real-time and large-scale Marketplace Marketing problems using a combination of multiple Data Science techniques.
In this role, you will be expected to:
● Able to execute independent as well as group initiatives and communicate problem formulation, solution, analysis, and insights to wider team members and stakeholders
● Conceptualise Machine Learning framework and architecture to address core marketing challenges such as Channel Behaviour measurement (Including SMS, Push, In-App,
Email, Social), User Onboarding, Customer churn, Cross-sell, Upsell
● Conceptualise and develop machine learning models to Support Customer lifecycle Analytics across Rides, Food and Fintech
● Deep dive into data to conduct Business Insights, advanced statistical analysis and incorporate machine learning and optimization algorithms and simulate their impact on
the overall system
● Develop and execute necessary analyses or A/B tests to validate Experiments, models, and perform detailed analysis to identify improvement opportunities
● Effectively conceptualize analyses and present across business stakeholders and country marketing teams. Work independently or in a team to solve complex problem
statements
● Build, validate, test, and deploy models and algorithms using proven and experimental techniques
● Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them
The must haves:
● Masters Degree or Ph.D. in Economics, Mathematics, Operations Research, Data Science, Interdisciplinary Engineering, Computer Science, with specialization in Machine
Learning, User Behaviour or Optimization techniques. Bachelors degree with strong experience in related marketing area can also apply
● Minimum 2-4 years of relevant post-degree experience in solving large-scale complex problems, especially in Online Marketplaces, transport or logistics business
● Proficient in traditional RDBMS Such as SQL, Writting ETL jobs, and No-SQL database systems; programming languages like R, Python, SAS; and distributed computing platforms like Hadoop and Spark
● Good knowledge in Supervised, Unsupervised and Reinforcement learning/algorithms
● Detail-oriented and efficient time manager who thrives in a dynamic and fast-paced working environment
● Self-motivated, independent learner, and enjoy sharing knowledge with team members
● Develop and execute necessary tests and analyses to validate models, and perform detailed analysis to flag out vulnerabilities and improvement opportunities
● Visualise simulation results in a manner that facilitates the required analyses
● Able to present complex subjects clearly and coherently to non-domain experts
● Experience in working with Digital/Mobile Marketplaces with Customer lifecycle data, geospatial and mobility data is a plus
If you share our vision of driving South East Asia forward, apply to join our team today. Simply click on "Want To Visit" and remember to brush up your Wantedly profile.