Senior Data Scientist - Marketing

Pegasus Havayolları A.Ş.

ABOUT PEGASUS AIRLINES

Pegasus Airlines was launched in 1990 and adopted a low-cost business model. As Turkey’s leading low-cost carrier, Pegasus offers its guests the opportunity to travel affordably and on young aircraft under the auspices of its low-cost airline model with the belief that “everyone has the right to fly”. Since 2018, Pegasus has adopted the motto “Turkey’s Digital Airline” and operates a network of 125 destinations in 47 countries, including 36 domestic destinations in Turkey and 89 international destinations; it operates connecting flights between Turkey and Europe, North Africa, the Middle East, Russia and Central Asia via Istanbul Sabiha Gökçen Airport in Turkey.

Now, we are seeking Senior Data Scientist to join our Marketing team!

JOB DESCRIPTION

• Act as the analytical point of reference for Marketing team and key stakeholders of other departments (CRM, Senior Executives, etc.) promoting data driven decision making
• Support the Marketing team in optimization of marketing campaigns by applying statistical methods and machine learning techniques
• Apply Stats and ML techniques across all the steps of the campaign lifecycle: from design of experiments to performance measurement
• Train, deploy and monitor machine learning models for the optimization of personalized marketing campaigns
• Measure the impact and return of campaigns by applying thorough A/B testing methodologies
• Gather, synthesize and share with the team the insights derived from campaign experiments
• Use data to further strengthen our understanding of Customers and their behavior
• Setup and share weekly/monthly reports for the Marketing team
• Create ad-hoc analysis as well as presentations for regular reviews

QUALIFICATIONS

• Bachelor Degree in Computer Science / Statistics / Data Science or related fields
• Experience in marketing analytics
• Min 4 years work experience as Data Scientist
• Previous work experience in coordinating a team of Data Scientists
• Experience with main Python libraries for data science and machine learning
• Experience in development, deployment and monitoring of Python machine learning models in production-like environments
• Experience in development, deployment and monitoring recommender systems and uplift modeling workflows
• Passion for learning and investigating applying data-driven decision making to shape a holistic view of our business, taking into consideration for all aspects of the customer experience and customer service
• Ability to clearly communicate ideas and results to non-technical business people, both written and orally
• Ability to see the "big picture", evaluate the business impact of issues and prioritize among many requests
• Ability to turn complex concepts into actionable recommendations.
• Experience in structuring data to test hypotheses and develop key insights for marketing and external stakeholders
• Advanced knowledge of Microsoft Office (Excel, PowerPoint etc.)
• Experience in scheduling and orchestrating data pipelines with Apache Airflow is a plus
• Knowledge of other statistical software languages/applications is a plus (SAS, SQL, etc.) is a plus