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.
• 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.