Data Scientist
Job Description
- Uses strong business acumen and communicates findings and mines vast amount of data for useful insights
- Uses these insights to influence the organization in approaching business challenges
- Uses a combined knowledge of Computer Science, Applications, Modelling, Statistics, Analytics and Math to solve problems
- Extracts data from multiple sources
- Sifts and analyzes data from multiple angles and looks for trends that highlight problems or opportunities
- Communicates important information and insights to business and IT leaders
- Makes recommendations to adapt existing business strategies
Job Specifications
- With more than five (5) years proven track record in the field
- With Master/PhD degree in a quantitative field like Mathematics, Statistics, Computer Science, Engineering or related fields and with Excellent Academic Record (>90);
- With good working knowledge in SQL language for data extraction
- With good working knowledge in a wide range of machine learning methods and algorithms for classification, regression, clustering, and others
- With good Statistical analysis skills – e.g. hypothesis testing, estimation theory and Mathematical skills
- With expert knowledge in at least one modelling language: R or Python
- Experienced in dealing with end to end machine learning projects: data exploration, feature engineering/definition, model building, performance evaluation and helps in implementation