- Provide advanced analytics support and advise on appropriate analytical models based on available data, technology and platform
- Translate unstructured business questions into quantitative problems
- Prototyping advance analytics and machine learning solutions for business partners
- Make intelligent approximations to the model if required to make it scalable and operational
- Anticipate needs and lead implementation of capabilities such as data modelling, algorithms, new technology & partners
- Recommend and implement the development path of capabilities and skillsets to foster a culture of applying data & insight driven culture in decision making
Requirements
- Bachelor’s degree in Computer Science, Engineering, Econometrics, Mathematics, Operation Research, Statistics or related disciplines
- At least 2 years of working experience in data science with proven track record of leveraging large amount of data to drive significant business impact
- Advanced analytical skills, experience in recommending appropriate algorithm and methodology for problem-solving and decision making, leveraging both logic and creativity
- Experience in prototyping and productional advance analytics solutions in business
- Must be proficient in Python. Knowledge of Java, Scala and C++ is a plus
- Experience in it big data tools (e.g. Hadoop, Spark), as well as query languages for SQL and NoSQL
- Familiar with machine learning algorithm and libraries (e.g. scikit-learn, XGBoost, LGBM, TensorFlow etc.)
- Proficiency in data visualization tools, ideally Tableau