Lead Data Scientist

1. 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.
2. 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.

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.