Data Scientist

Are you ready to dive into the world of numbers, algorithms, and insights? We're on the lookout for a passionate and curious Data Scientist to join our dynamic team and make magic happen with data!
Work position:Hybrid
About ID90 Travel Did you know that one of the privileges of working for an airline is being able to fly around the world for free? Well, we at ID90 Travel provide the technology that makes that airline employee travel possible for the world's leading airlines. We've also become the leading one-stop comprehensive solution for airline employee travel needs. This includes providing them with exclusive rates on hotels, cruises, rental cars and more.
Responsibilities:
Data Analysis and Interpretation:
Analyze large datasets to extract valuable insights and trends that can inform strategic business decisions.
Work closely with cross-functional teams to understand business requirements and provide data-driven solutions.
Model Development and Implementation:
Develop predictive models and algorithms to support various business functions, such as customer segmentation, demand forecasting, and personalized recommendations.
Implement machine learning models and algorithms into production systems.
Collaboration and Communication:
Work closely with cross-functional teams, including marketing, product management, and operations, to understand business needs and deliver data-driven solutions.
Present findings and insights to both technical and non-technical audiences.
Qualifications:
Master's or Ph.D. in a quantitative field such as Statistics, Computer Science, or Data Science.
Proven experience in applying statistical and machine learning techniques to solve real-world business problems.
Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries
Strong knowledge of databases and data querying languages (SQL).
English is a must
Previous experience in e-commerce is a plus
Ability to communicate complex findings in a clear and concise manner to both technical and non-technical stakeholders.
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