Network Data Scientist VOIS

Job Description

Role Purpose

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.

Experience

• Bachelor Degree in computer science and/or engineering or equivalent with 0-3 years of relevant experience.
• 0-3 Overall years of experience
• Working in international, distributed teams.
• Understands business requirements.
• Comfortable running validation sessions/workshops with stakeholders.
• Ability to communicate complex findings and ideas in plain language

Responsibilities

• Build, test and deliver new analytical models using 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.
• Participate in the business analysis and document the specification of business information requests

Must have technical / professional qualifications

• Experience with different aspects of analysis and advanced analytical techniques (eg. Descriptive, predictive, optimization)
• Comfort manipulating and analyzing 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 Math’s or Statistics.

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