· Deployment of advanced analytics pipeline, collaborating with product owner, data engineering, or backend engineer team.
· Translating business to data science problem, and performing online experiments to validate the hypothesis.
· Design analytics framework (ML and statistical model) for various use cases.
· Maintain the quality and execution of the analytics models for various products.
· Perform periodic review on the implementation of the model and data pipeline.
· Collaborate with the data science and analytics (internal or external team) to produce high-quality dashboard per business user requirements.
· Collaborate with analytics team to advice on the usage of internal and external data asset to solve business problems.
· Perform consultative and help the implementation of analytics use case across the organization and be the champion in terms of advanced analytics models such as Machine Learning.
· Perform exploratory data analysis on various data sources to get new insights to improve and give recommendation for clients.
· 2+ years of experience in Data Science / Analytics, such as Data Analyst, Data Scientist, or Business Intelligence Analyst
· Experienced in translating business to data science problem, and performing online experiments to validate the hypothesis
· Implemented analytical or Machine Learning model to production, which are run on a periodic basis to solve specific business use case
· Developed analytics or ML model such as regression, clustering, or classification.
· Experienced in crafting raw or tabular data into insights and presenting it to the stakeholders via means of compelling data visualizations
· Experienced in collaborating with various data-related roles in the organization to solve business use case, e.g., with Data Engineer, Data Analyst, Product Manager
· Performed model monitoring to ensure that the trained model is stable and reliable
· Experienced in design A/B testing scenarios in an online experiment setting to validate hypothesis and test the performance of the analytical models. Also interpreting the result of the experiments in metrics which are well-understood by business users
· Programming skills in Python/R and data query or manipulation skill using SQL
· Experienced in using various tools for data science/analytics such as scikit-learn, pandas, numpy
· Experienced in using data visualization tools such as Tableau, PowerBI
· Experienced in using various database platform such as MySQL, PostgreSQL, Hive, Bigquery, etc
· Advanced problem-solving skills
· Having experimental mindset which is driven by intellectual curiosity to always find and improve their own works
· Knowledge of data framework in Python such as Kedro, Airflow, MLFlow, etc is a plus
· Have background knowledge on Financial, Telco or FMCG industry.