Senior Data Scientist (VOIS)

Key Skills

Analytical and Problem solving, Apache Hadoop, Data science techniques, Effective communication skills, IT, Machine learning techniques, NoSQL, Python Programming, R Programming, SAS, SPARK Programming, SQL, Writing

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.

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
• 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.