Data Scientist (Economist)
Product Singapore, Singapore Apply for this Job Department Product Employment Type Confirmed Minimum Experience Senior Executive
At a glance
We are looking for a Data Scientist (Economist) with the right skill sets and background to join our team.
The Data Scientist will create value by discovering actionable business insights through scientific research and data-driven inquiry.
You have the ability to understand complex business processes, build and test solutions that are both statistically robust and contextually valid to the business, and present recommendations in a way that can be easily understood and acted on by key decision makers.
About the role
Develop predictive models on large datasets to address various business problems through demonstrating advanced statistical modelling (Probabilistic and / or Bayesian).
Apply econometric models on large datasets to measure results and outcome, identify causal impact, predict future performance of users or products.
Communicate and work with a team of software architects, data analysts and product managers to build and maintain our portfolio of products.
Work with large amount of real-world consumers’ usage and commerce data in various production environments.
Develop and validate prototypes, test proposed solutions on real data.
Deliver informative, actionable findings and recommendations to stakeholders and create critical indices and metrics.
Design and drive the creation of new standards and best practices in the use of statistical data modelling, big data and optimization tools.
Skills & experiences required
Qualification in economics, econometrics, statistics, business analytics, data science or an equivalent quantitative and technical discipline.
Knowledge of Econometrics methods including regression techniques and Statistics, Experimental Design, Mechanism Design, as well as Pricing and Revenue Management Modeling.
Proficiency in Python, R, SQL
Expert proficiency in collecting, assembling and analysing large datasets.
Excellent data storytelling, presentation and communication skills.
Creativity to think outside the box and develop solutions to challenging problems.
Only shortlisted candidates will be contacted.