Data Scientist - Commercial Analytics

Cathay Pacific Airways Limited; Hong Kong; On-site; HKD 900,000 - 1,200,000; Full time

Job summary

Cathay Pacific is seeking a Data Scientist - Commercial Analytics to turn unstructured business questions into quantitative insights. You will use machine learning, big data, and statistics to influence decisions across commercial and customer domains, collaborating with diverse stakeholders in a fast-paced digital environment.

The role emphasizes productionalizing analytics, assessing models, and driving a data-driven culture.

Qualifications

• Master's degree in a quantitative field is required.
• Minimum 5 years of data science experience with measurable impact.
• Strong analytical abilities and problem-solving.
• Proficiency in Python and AWS is essential.
• Knowledge of Spark/R/Hive/Hadoop/SQL is advantageous.
• Experience productionalizing analytics solutions is desirable.
• Solid understanding of database concepts and BI practices.
• Excellent communication skills for stakeholders at all levels.
• Passion for AI and data-driven value discovery.

Responsibilities

• Translate unstructured business questions into quantitative problems.
• Provide advanced analytics support including ML, big data, and modeling.
• Advise on analytical models based on data, technology, and platform.
• Collaborate with stakeholders to implement solutions.
• Evaluate ML algorithms and provide technical recommendations.
• Prototype and optimize analytics and ML solutions iteratively.
• Monitor data science product performance and take corrective actions.
• Partner with IT to productionalize ML models.
• Anticipate needs and lead new capabilities, tech, and partnerships.
• Drive knowledge sharing and foster a data-driven culture.

Skills

Strong analytical skills

Excellent communication skills

Passion for AI

Education

Master's degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline

5+ years of data science experience

Tools

Python

AWS

Spark

R

Hive

Hadoop

SQL

QlikView

PowerBI

Job description

Join our Digital team and be part of a dynamic environment that leverages data to drive business transformation. We are passionate about using advanced analytics and AI to create measurable impact across operations, commercial, and customer domains.

As a Data Scientist - Commercial Analytics, you will deliver actionable insights and innovative solutions that influence major business decisions. You will work on exciting projects involving machine learning, big data, and advanced statistical modeling, gaining exposure to cutting-edge technologies and collaborating with diverse stakeholders.

Key Responsibilities

• Item 1 of 10, Translate unstructured business questions into quantitative problems Translate unstructured business questions into quantitative problems


• Item 2 of 10, Provide advanced analytics support including machine learning, big data, and statistical modeling across multiple functional areas Provide advanced analytics support including machine learning, big data, and statistical modeling across multiple functional areas


• Item 3 of 10, Advise on appropriate analytical models based on available data, technology, and platform Advise on appropriate analytical models based on available data, technology, and platform


• Item 4 of 10, Collaborate with stakeholders and partners to implement solutions Collaborate with stakeholders and partners to implement solutions


• Item 5 of 10, Evaluate machine learning algorithms and models, providing technical recommendations for decision making Evaluate machine learning algorithms and models, providing technical recommendations for decision making


• Item 6 of 10, Prototype and optimize advanced analytics and machine learning solutions iteratively Prototype and optimize advanced analytics and machine-learning solutions iteratively


• Item 7 of 10, Monitor data science product performance and initiate corrective actions when needed Monitor data science product performance and initiate corrective actions when needed


• Item 8 of 10, Partner with IT to productionalize machine learning models Partner with IT to productionalize machine learning models


• Item 9 of 10, Anticipate needs and lead implementation of new capabilities, technologies, and partnerships Anticipate needs and lead implementation of new capabilities, technologies, and partnerships


• Item 10 of 10, Drive knowledge sharing and foster a data-driven culture across the organization Drive knowledge sharing and foster a data-driven culture across the organization

Requirements

• Item 1 of 10, Master's degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline Master's degree in Computer Science, Econometrics, Mathematics, Operations Research, Statistics or a related discipline


• Item 2 of 10, At least 5 years of experience in data science with a proven track record of delivering measurable business impact At least 5 years of experience in data science with a proven track record of delivering measurable business impact


• Item 3 of 10, Strong analytical skills with the ability to recommend algorithms and methodologies for complex problem-solving Strong analytical skills with the ability to recommend algorithms and methodologies for complex problem-solving


• Item 4 of 10, Proficiency in Python and AWS cloud stack is essential Proficiency in Python and AWS cloud stack is essential


• Item 5 of 10, Knowledge of Spark, R, Hive, Hadoop, SQL and data visualization tools such as QlikView or PowerBI is an advantage Knowledge of Spark, R, Hive, Hadoop, SQL and data visualization tools such as QlikView or PowerBI is an advantage


• Item 6 of 10, Experience in productionalizing analytics solutions is desirable Experience in productionalizing analytics solutions is desirable


• Item 7 of 10, Solid understanding of database concepts, data modeling and business intelligence practices Solid understanding of database concepts, data modeling and business intelligence practices


• Item 8 of 10, Excellent communication skills to clearly articulate ideas to stakeholders at all levels Excellent communication skills to clearly articulate ideas to stakeholders at all levels


• Item 9 of 10, Passion for AI, innovation and uncovering business value through data-driven solutions Passion for AI, innovation and uncovering business value through data-driven solutions


• Item 10 of 10, Candidates with less experience will be considered for the Associate Data Scientist role

Personal & Application Information

Cathay Pacific is committed to fostering an environment that values Diversity, Equity, Inclusion and Belonging. As an equal opportunity employer, we are committed to attracting and hiring qualified individuals from diverse backgrounds, experiences and abilities. We strive to create a respectful, inclusive workplace free from discrimination, harassment and bullying.

Privacy

Personal data provided by job applicants will be used strictly in accordance with our Applicant Personal Information Collection Statement and for recruitment purposes only. Candidates not notified within eight weeks may consider their application unsuccessful. We keep records of your data for no longer than is necessary for the purpose for which we obtained them and any other permitted linked purposes. If your application is unsuccessful, we will keep your details on file for as long as is necessary to process your application or for the purposes of further job opportunities if you agree to such longer periods.