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Responsibilities:
- Explore and apply data pre-processing methods such as transformation and curations involving different sources of structured and unstructured data
- Performs data mining, processing, cleansing, and validating integrity of data from various data sources
- Carry out exploratory data analysis to find trends and insights
- Build, test and deploy machine learning algorithms and models for problem solving or process optimization
- Collaborate and communicate with multiple stakeholders and subject matter experts to tackle business challenges
Requirements:
- BSc. or MSc. or Ph.D. in Mathematics, Computer Science, Data Science, Machine Learning, Artificial Intelligence or related fields provided they have a strong technical knowledge and experience in machine learning
- Proficient in programming and scripting skills (Python and R).
- Proficient in libraries for machine learning such as scikit-learn and pandas
- Excellent interpersonal skills, team player, resourceful and has strong analytical skills
- Experience in collaborative research and thriving in a fast-paced and dynamic work environment
- Good communication and written in English.
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