Sr. Data Scientist_VOIS

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.

•    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.
 

•     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
•    Proven experience in SQL & databases like Teradata/Oracle/MySQL
•    Very good experience and 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.
•    MS/Ph.D.  or 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.

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