Bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or related fields.
Proficiency and experience in scripting languages with rapid prototyping skills in SQL, Python, Perl, Java, VB, etc.
Highly skilled in statistical and modeling packages such as SAS, Statistical, MATLAB, R, visualization, and other advanced analysis tools.
At least 10 years of working experience in a senior data science position.

Qualification (Minimum)  

Bachelor’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or related fields.
Proficiency and experience in scripting languages with rapid prototyping skills in SQL, Python, Perl, Java, VB, etc.
Highly skilled in statistical and modeling packages such as SAS, Statistical, MATLAB, R, visualization, and other advanced analysis tools.
At least 10 years of working experience in a senior data science position.

Leading innovation within the business by defining how the business creates additional value through utilization of data assets and analytics.
Identify and monitor key business risks and realize the data needs of the business.
Manage the business’s external data and analytics partners.
Develop and design of the departmental vision, capabilities, infrastructure, and roadmap for the launch of data sciences capabilities.
Build the business’s data science talent needs, role definition, recruitment, and development of a team to move business agenda forward.
Improving the business’s data analysis model, creating industry-leading performance by leveraging new and creative data-sources, and employing the latest in machine learning in the department.
Develop roadmap for the data and analytics function that clearly defines ownership and responsibility between the central data function and the functional groups.
Collaborate with all functions of the company to ensure data needs are addressed and the required data is modeled and available to analysts and end-users.  
Work with the product, operations, and executive management teams to create a data enabled user journey.
Ensure centralization of Airline’s cloud and on-premises data into a single data lake and modeled to support data analysis requirements from all functional groups
Develop data models to track the business’s performance againstdata analysis model and monitor trends in key business KPIs.

Information technology, software development, data Jobs in Senior-level

Head Data Science & Analytics