Data Scientist

Fly NavaTechnologies is a start-up organization whose vision is to create the finest airline software for distinct competitive advantages in revenue generation and cost management. The software products have been designed and created by veterans of the airline and airline IT industry, to meet the needs of this special customer segment. The software will be constructive by innovative approach to age old practices of pricing, hedging, aircraft induction and will be path breaking to use, encouraging the users to rely and depend on its capabilities.

Wewill leverage our competitive edge by incorporating new technology, big data models, operations research and predictive analytics into software products, a means of creating interest and creativity while using the software. This interest and creativity will increase potential revenues or reduce costs considerably, thereby creating a distinct competitive differentiation.

​FlyNava is convinced that when airline users create that differentiation easily, their alignment to the products will be self-motivated rather than mandated.

High level of competitive advantage will also flow with the following

All the products, solutions and services will be Copyright. FlyNava will benefit with high IPR value including its base thesis/research as the sole owners.

Existing product companies are investing in other core areas which our business areas are predominantly manual process

Solutions are based on master thesis which need 2-3 years to complete and more time to make them relevant for software development.

Expertise in these areas are far and few.

Responsible for Collecting, Cataloguing, Filtering of data and Benchmarking solutions

• Contribute to model related Data Analytics and Reporting.

• Contribute to Secured Software Release activities.

Education & Experience :

• B.E/B.Tech or M.Tech/MCA in Computer Science/ Information Science / Electronics & Communication

• 3 - 6 Years of experience

Must Have :

• Strong in Data Analytics via

Pyomo (for optimization)

Scikit-learn (for small data ML algorithms)

MLlib (Apache Spark big-data ML algorithms)

• Strong in representing metrics and reports via json

• Strong in scripting with Python

• Familiar with Machine learning, pattern recognition Algorithms

• Familiar with Software Development Life Cycle

• Effective interpersonal skills

Good to have :

Social analytics

Big data