Loyalty Data Science Manager

3 months ago

Doha, Qatar Qatar Airways Full time

As a Loyalty Data Science Manager, you will be responsible to define overall strategy and direction for implementing advanced data science techniques in order to provide a competitive edge and drive innovation across Privilege Club (PC).

Other key responsibilities are:

- Data Analysis and Interpretation: Analyse customer data to identify patterns, trends, and insights that can inform loyalty program strategies and initiatives.
- Predictive Modelling: Develop and implement predictive models to forecast customer behaviour, such as purchase patterns, redemption rates, and churn, to optimize loyalty program offerings.
- Segmentation and Targeting: Create customer segments based on data analysis and using these segments to tailor loyalty program benefits, offers, and communications to specific customer groups.
- Performance Measurement: Define key performance indicators and using data to measure effectiveness of loyalty program, involving assessing customer engagement, redemption rates, and overall program ROI.
- Data Governance: Ensuring quality, accuracy and privacy of customer data. Implementing data governance policies and practices to comply with regulations and maintain customer trust.
- Collaboration with Cross-Functional Teams: Work closely with marketing, product development and customer service teams to align data-driven insights with broader business strategies and customer experience initiatives.
- Innovation and Experimentation: Stay abreast of emerging trends and technologies in data science and loyalty programs. Experimenting with new approaches, algorithms, or data sources to continuously improve the program's effectiveness.
- Communication and Visualization: Effectively communicate complex data findings to non-technical stakeholders through visualizations, reports and presentations. Translating data insights into actionable recommendations for the business.
- Team Management and Development: Lead and develop a team of data scientists by providing mentorship, setting goals and fostering a culture of continuous learning and innovation within the team.
- Ethical Considerations: Address ethical considerations related to data usage, ensuring customer privacy, and adhering to ethical guidelines when implementing data science solutions in the loyalty program.
- Work with loyalty operations, systems, marketing and partnerships teams to analyse, through identification and evaluation of data sources within, for example, loyalty, booking, ticketing or passenger data to be used by PC teams to support delivering exceptional member experiences and to deliver revenue.
- Evaluate other sources of data such as QDF, network planning or industry ticketing data for example; analysing the data to identify indicators of value in passenger purchasing decisions, willingness to pay or PC performance relative to the market in order to determine data points useful for business decisions.
- Perform analysis on reporting, trends, data quality and system outcomes to improve departmental forecasting techniques where improved forecasts result in better decision making and revenue results.
- Work with users responsible for value proposition, marketing, and partnership decisions to analyse their data requirements and contribute to decisions concerning user training, data access, self-reporting for example to ensure efficient processes and quality decision making.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.

Together, everything is possible.

Qualifications

About You

We are looking for a passionate and experienced professional to join the Loyalty Team.
- Minimum qualification of bachelor’s degree or equivalent is essential.
- 6+ years of job-related experience
- Intermediate to advanced technical skills in data science and machine learning, with experience using tools such as Python, R, TensorFlow, and PyTorch
- Experience in SQL, NoSQL, SAS, Anaconda, Databricks or Cloud native services
- Experience working with a variety of industries, such as Banking, Insurance, Retail & FMCG, Healthcare or Travel & Hospitality etc.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and executives
- Advanced problem-solving skills, with the ability to analyse complex data sets and develop innovative solutions to business problems
- A passion for data science and AI, and a desire to stay up to date with the latest trends and developments in the field, such as GenA

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