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Job Description
The role of Data Scientist is to Design & Develop analytical models & insight packs to support Local markets, Partner markets, and Corporate accounts to transform raw data into actionable intelligence using predictive & descriptive statistical techniques through all kind of data store.
Job Requirements
Technical Qualifications:
- Experience with different aspects of analysis and advanced analytics techniques (eg. Descriptive, predictive, optimization)
- Comfort manipulating and analysing complex, high-volume, high-dimensionality data –preferably in Hadoop/Spark
- Proven experience in SQL & databases like Teradata/Oracle/MySQL
- Experience or good knowledge of Machine Learning techniques and how they are applied to real life applications
- Proven experience in one or more statistical tools like Python, R, SAS EM, Mat lab, SPSS. Teradata Warehouse Miner etc.
- Professional or academic knowledge with Data Science, Applied Maths or Statistics
Personal Qualifications:
- Bachelor Degree in computer science and/or engineering or equivalent with 3-5 years of relevant experience
- Working in international, distributed teams
- Should have good analytical & troubleshooting skills
- Should have good verbal and written communication skills
- System analysis skills for IT troubleshooting
- Conscientiousness and high accuracy in work
- understands business requirements
- Flexible attitude and can do attitude
- Drives improvements and process innovation
- familiar with cognitive technologies
- Comfortable running validation sessions/workshops with stakeholders
- Hands on experience in working within agile development environment preferably as part of multi-locations and/or virtual teams
- ITIL awareness
- Ability to communicate complex findings and ideas in plain language
- Strong communication skills
- Very good in interdepartmental coordination
- Self-motivated and creative problem-solving skills
- Innovative and out of box thinking
- Fully comfortable working in English, both in writing and spoken
Roles & Responsibilities:
- Build, test and deliver new analytics / models using the new data sets as required to underpin use case.
- Data preparation, cleansing, SQL and NO-SQL optimisation and implementing statistical models
- Play effective role in decision making processes for business customers by developing different types of models (descriptive, predictive,…) on specific segments such as certain market segments, products, services, etc.
- Working closely with commercial teams to present the recommended actions based on the outcome from the models/analytical results
- Provide product management support to identify and define customer facing analytics use cases for the product roadmap
- Support definition of the life cycle process for analytics, allowing for fast, low cost development
- Participate in the business analysis and document the specification of business information requests
