top of page
Job gadzee

Data Scientist

Job Type:

Work from Home

Job Schedule:

Full Time 

Job description:

Gadzee is looking for consultants to be hired for a full time role. The expected years of experience is around 5 years. The Consultant should have the flexibility to be available in the US time zone.

The job offers flexibility of work from home.The Consultant should be available and align the working hours with other team members as requested.

Posting date:

Jul 6, 2020




US time ET Zone. 

Job ID :



Bachelor's or Master's in Computers/ IT or Engineering.


Team Player, Excellent in Communication, Technical expert in Airlines Domain.


Client relationship ambassador

Role Type:

Lead/Team member

Preferred Qualifications:
• Work with Quality Analyst, Data Analyst and Product Teams.
• Performing quality audits to ensure SDLC.
• Must be to present the Audit process for Airlines and Aviation industry.
• Reviewing program work plan for progress updates, dependencies, and risk avoidance.
• Assuring process for updating, approving and versioning of program-controlled documentation.
• Monitoring SDLC processes and identifying SDLC workflow areas for improvement.
• Facilitating process improvement sessions and following up on action items.
• Producing weekly status reports and program metrics.

Required Qualifications:

• Strong experience in Data Science for more than 5 years.
• Strong expertise in airlines ticketing, claims, refund, cancellation, and aviation guidelines.
• Strong knowledge in GDPR, must be able to understand recitals.
• Ability to work in agile mode.
• Assists VP with creation of Dashboards, Scorecards and Presentation.
• Airlines regression modeling and machine learning algorithms.
• Prior experience building data science tools
• Experience in airlines analytics, traffic, seasoning , taxi and airports.
• Prior experience in Loss forecasting/modeling.
• Prior experience in building data science tools
• Identify valuable data sources and automate collection processes.
• Undertake pre-processing of structured and unstructured data.
• Analyze large amounts of information to Client trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Propose solutions and strategies to business challenges.
• Experience in data mining.

bottom of page