Job Description

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Should mandatorily have a total of 10 years of experience with at least 6 years of experience in advanced analytics and in developing models using advanced analytical tools Shall have worked in Python for at least 2 years Knowledge of Python R and other open source analytical tools is highly desirable The resource should have a very strong experience in data analytics and data handling and experienced in statistical programming on latest IT tools of data analysis

Key Responsibilities:

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ROLE AND RESPONSIBILITIES As a Lead Data Scientist lead the engagement efforts at different stages from problem definition to diagnosis to solution design development deployment in large government implementation programs Create detailed design and architecture and process artifacts implement the solution and the deployment plan Connect with senior client business and IT stakeholders demonstrating thought leadership in domain process and technology Contribute to Unit and Organizational initiatives and COEs REQUIRED SKILLS AND EXPERIENCE Strong hands on and in depth knowledge of Data Analytics module Strong understanding of the Data Warehousing Business Intelligence AI solutions good understanding of airlines industry Thorough understanding of Agile methodology Good understanding of business processes in the airlines domain or with government organizations Experience in leading and driving Business process workshops and Fit GAP analysis Should have working experience in a highly regulated environment Should be aware of release governance processes and have experience in working on any incident management tool

Preferred Skills:

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Technology->Machine Learning->Python