Data Scientist
At Cathay Pacific, we share one common aspiration: to be the world's best airline. We believe in looking for the best in our people, in working as a team, in doing the right thing by our shareholders and our communities.
With a global team, we offer a diverse range of career choices and opportunities - in the air, on the ground; in customer service, in the office; managerial or professional roles. Our team of great people each plays a key role to deliver the quality service that we are famous for.
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This position is responsible to:
-Deliver actionable analytics and insights and extend it as an integral component of major business change and investment programmes, including in flight operations, services deliveries, customer & loyalty management as well as sales management
-Drive a combination of mathematical rigor and innovative algorithm design to extract relevant insights from data
-Collaborate with stakeholders to build and deliver data science solutions to facilitate business transformation, with measurable impact.
-Lead individual use cases to ensure business needs are met and value delivered.
-Deliver actionable analytics and insights and extend it as an integral component of major business change and investment programmes, including in flight operations, services deliveries, customer & loyalty management as well as sales management
-Drive a combination of mathematical rigor and innovative algorithm design to extract relevant insights from data
-Collaborate with stakeholders to build and deliver data science solutions to facilitate business transformation, with measurable impact.
-Lead individual use cases to ensure business needs are met and value delivered.
Responsibilities
-Work with the business to help translate unstructured business questions into quantitative problems.
-Provide advanced analytics support including machine learning, big data, and
advanced statistical modelling across the companies’ functional areas including operations, commercial, and customer domains.
-Advise on appropriate analytical models based on available data, technology and platform.
-Work with key stakeholders and partners to implement solutions.
-Evaluate machine learning algorithm and models, and provide technical recommendations to business units for decision making.
-Influence key stakeholders to ensure insights are used to maximise value.
-Make intelligent approximations to the model if required to make it scalable and operatable.
-Prototyping advance analytics and machine learning solutions and optimise iteratively for business partners.
-Monitor data science products performance to ensure its business values are delivered as per designed, and initiate necessary corrective actions.
-Partner with IT in productionalizing machine learning models.
-Anticipate needs and lead implementation of capabilities such as data modelling, algorithms, new technology & partners.
-Recommend and implement the development path of capabilities and skillsets to foster a culture of applying data & insight driven culture in decision making.
-Drive knowledge sharing and improvement in analytics skills within the data science community and across Digital Streams and relevant business units.
-Provide advanced analytics support including machine learning, big data, and
advanced statistical modelling across the companies’ functional areas including operations, commercial, and customer domains.
-Advise on appropriate analytical models based on available data, technology and platform.
-Work with key stakeholders and partners to implement solutions.
-Evaluate machine learning algorithm and models, and provide technical recommendations to business units for decision making.
-Influence key stakeholders to ensure insights are used to maximise value.
-Make intelligent approximations to the model if required to make it scalable and operatable.
-Prototyping advance analytics and machine learning solutions and optimise iteratively for business partners.
-Monitor data science products performance to ensure its business values are delivered as per designed, and initiate necessary corrective actions.
-Partner with IT in productionalizing machine learning models.
-Anticipate needs and lead implementation of capabilities such as data modelling, algorithms, new technology & partners.
-Recommend and implement the development path of capabilities and skillsets to foster a culture of applying data & insight driven culture in decision making.
-Drive knowledge sharing and improvement in analytics skills within the data science community and across Digital Streams and relevant business units.
Requirements
-Master degree (or equivalent education qualifications) in Computer Science, Econometrics, Mathematics, Operation Research, Statistics or related disciplines.
-Minimal 5 years’ work experience in data science, proven track record of leveraging large amount of data to drive significant business impact.
-Advanced analytical skills, experience in recommending appropriate algorithm and methodology for problem-solving and decision making, leveraging both logic and creativity.
-Experience in ASW cloud stack is highly preferred.
-Experience in protoyping and productionalizing advance analytics solutions in business.
-Expert in statistical analysis tools and machine learning languages (Ideally Python, Spark) other big data tools (e.g. R, Hive, Hadoop), as well as query languages (e.g. SQL).
-Proficiency in data visualization tools, ideally Qlikview, PowerBI.
-Proficiency in analytics & query tools e.g. Alteryx.
-Essential to have strong understanding in database concepts & data modelling,
business intelligence disciplines & data management tools.
-Sound communication skills to work with business partners of different levels and
background. Be able to articulate ideas verbally and in written forms.
-Solid understanding of latest analytics technology and concepts, trends of platform & tools
-Minimal 5 years’ work experience in data science, proven track record of leveraging large amount of data to drive significant business impact.
-Advanced analytical skills, experience in recommending appropriate algorithm and methodology for problem-solving and decision making, leveraging both logic and creativity.
-Experience in ASW cloud stack is highly preferred.
-Experience in protoyping and productionalizing advance analytics solutions in business.
-Expert in statistical analysis tools and machine learning languages (Ideally Python, Spark) other big data tools (e.g. R, Hive, Hadoop), as well as query languages (e.g. SQL).
-Proficiency in data visualization tools, ideally Qlikview, PowerBI.
-Proficiency in analytics & query tools e.g. Alteryx.
-Essential to have strong understanding in database concepts & data modelling,
business intelligence disciplines & data management tools.
-Sound communication skills to work with business partners of different levels and
background. Be able to articulate ideas verbally and in written forms.
-Solid understanding of latest analytics technology and concepts, trends of platform & tools
Salary
Negotiable
Benefits
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Employment Type
Qualification
Career Level
Min. Yrs. of Experience
5
Location
Validity
Expired