Data Scientist

Key accountabilities and decision ownership

• 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 optimization 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 lifecycle process for analytics, allowing for fast, low cost development
• Participate in the business analysis and document the specification of business information requests.

Core competencies, knowledge and experience

• Experience with different aspects of analysis and advanced analytics techniques (e.g. Descriptive, predictive, optimization)
•      Comfort manipulating and analyzing

complex, high-volume, high- dimensionality data preferably in Hadoop/Spark