Data Scientist

Wingie Enuygun Group is Turkey's leading travel marketplace with more than 20 million visitors and 70 million page impressions each month. With its user-focused service, more than 500,000 travelers worldwide book their flights on Wingie Enuygun Group every month.

We invite you to have the opportunity to work in Wingie Enuygun Group's young and dynamic team.

We are looking for a "Data Scientist" for Wingie Enuygun Group's growing team. With this position, you will have the chance to take part in the team that has developed one of the most successful internet businesses in Turkey.

Requirements

What makes you special?

• Bachelor’s or Master’s Degree (PhD is a plus) in a quantitative field preferably Industrial Engineering, Computer Science, Statistics, Mathematics, or a related quantitative field.
• 2+ years of experience as a Data Scientist or Machine Learning Engineer, ideally in a fast-paced, data-driven environment. Experience in the travel, e-commerce, or marketplace industry is a plus.
• Moderate knowledge and hands-on experience with one or more of the following: clustering, classification, regression, ensemble methods (e.g., bagging, boosting), recommendation systems, natural language processing (NLP), computer vision (CV), and optimization.
• Familiarity with deep learning techniques and frameworks such as PyTorch and TensorFlow is a plus.
• Proficient in Python and SQL for data manipulation, modeling, and analysis.
• Moderate understanding of ML-Ops practices and experience with deploying and maintaining models in production.
• Familiarity with AB testing methodology and evaluating model performance using statistical methods.
• Proven ability to transform raw data into actionable business insights through data mining, statistical analysis, and advanced modeling.
• Experience working with large-scale datasets and utilizing cloud platforms (e.g., AWS, GCP, Azure).
• Strong communication skills, with the ability to explain complex data concepts to non-technical stakeholders in a clear and concise manner.
• Strong problem-solving skills with an ability to think critically and strategically.
• Self-driven with the ability to manage multiple projects and deadlines in a fast-paced environment.

What will you do?

• Develop and implement machine learning models to solve business problems using one or more of the following: clustering, classification, regression, recommendation systems, natural language processing (NLP), computer vision (CV), and optimization.
• Collaborate with product, engineering, and business teams to define data science projects and deliver end-to-end solutions.
• Optimize existing models and data infrastructure to enhance performance, scalability, and maintainability.
• Conduct data analysis and data mining to uncover actionable insights and identify trends within large, complex datasets.
• Design and implement robust AB testing methodologies to evaluate the impact of data science solutions and recommendations.
• Create and communicate clear, actionable insights through data visualizations and reports, bridging the gap between technical and non-technical stakeholders.
• Contribute to the development of MLOps practices, ensuring streamlined deployment and monitoring of models in production.
• Conduct research and analysis to identify new data sources, techniques, and tools that can enhance the performance of existing data science algorithms, while also exploring new approaches.

Benefits

· In our tech and growth teams, you will have the opportunity to work with cutting edge technologies and tools to serve millions of travellers' travel needs globally

· Being part of a culture that puts data, productivity and customer satisfaction to the very center, you will see first hand how we achieved to be the only e-commerce company in Turkey that is bootstrapped, has scaled fast, and is now becoming a global player

· Working in a young and dynamic environment with a collaborative agile culture you will have the chance to see what you produce to be used by millions in just about 2 weeks

· Lifetime learning, development and growth opportunity with on-going educational sessions, internal/external trainings and free access to Coursera, Udemy, Symfonycasts, Lynda, Edx, Oreilly e-learning platforms

· Comprehensive preboarding and onboarding programs to get you acclimated and productive from day one

· No dress-code

· Free healthy snacks and beverages every day

· Social club memberships such as Hiking Club, Homeless Pet Club, Basketball Club, Football Club

· Corporate nutrition consultancy to get one step closer to healthy living

· Netflix Gift Card to unwind after work by watching entartaining content

· Meal card for your lunch (Multinet)

· Complementary private medical insurance (Allianz)

· Life Insurance (Allianz)

· Special Employee Discounts on hotel and flight reservations on Wingie Enuygun Group for you and your friends whom you travel with

· Gift cards for holidays once a year

· Two big parties every year where you can have fun and get together with your teammates

· Carrefour Gift Card to contribute to grocery shopping once a year

· Marriage, birth gifts