Sr Data Scientist

Summary

As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Client business units. You will play a crucial role in analyzing complex data sets, driving data-driven decisions, and optimizing various aspects of airline operations.

Responsibilities:

Develop analytics to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. 
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Formulate, suggest, and manage data-driven projects that align with the business’s strategic goals. 
Collaborate with cross-functional teams to identify opportunities for data-driven improvements in fuel efficiency.

Qualifications/Requirements:

Bachelor’s degree in computer science or “STEM” Majors (Science, Technology, Engineering and Math) with minimum of 5 years of experience
Demonstrated skill in the use of one or more analytic software tools or languages (e.g., R, Python)
Hands-on experience with fuel efficiency analysis, flight operations, dispatch, or engineering
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment

Technical Expertise:

Demonstrated awareness of data management methods 
Demonstrated awareness of analytics development and deployment

Domain Knowledge:

Demonstrated awareness of industry and technology trends in one or more sectors where Client operates.
Demonstrated awareness of customer and stakeholder management and business metrics.

Leadership:

Demonstrated skill at function in a team setting.
Demonstrated awareness of critical thinking and problem-solving methods.
Demonstrated awareness of presentation and influencing skills.

Personal Attributes:

Demonstrated awareness of how to succeed in ambiguous circumstances