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Senior 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.

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.
    • 5+ 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.
    • Strong 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.
    • Experience 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.
    • Solid 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.
    • Mentor junior data scientists, providing guidance and knowledge sharing to help develop the team’s capabilities.
    • 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.

· 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

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Scientist, Wingie Enuygun Group

As a Senior Data Scientist at Wingie Enuygun Group, you will join Turkey's leading travel marketplace that serves over 20 million visitors monthly. This opportunity allows you to innovate and implement your expertise in data science within a dynamic environment, collaborating closely with product, engineering, and business teams. Your role will involve developing advanced machine learning models utilizing techniques like clustering, classification, recommendation systems, and natural language processing, transforming raw data into actionable insights that drive critical business decisions. With your solid experience in the field, you will mentor junior data scientists while continuously optimizing existing models and data infrastructures. The collaborative atmosphere at Wingie Enuygun Group emphasizes growth and diversity, offering you a chance to contribute to a successful internet business that's making waves globally. You can look forward to using cutting-edge technologies and enjoy significant professional development opportunities through ongoing educational sessions and comprehensive onboarding programs. Not only will you be shaping the future of travel for millions of users, but you'll also get to enjoy perks such as free healthy snacks, social club memberships, and even discounts on hotel and flight bookings for you and your friends. Join us and see the direct impact of your work just weeks after deployment, and thrive in an environment where your ideas and contributions are valued and impactful.

Frequently Asked Questions (FAQs) for Senior Data Scientist Role at Wingie Enuygun Group
What skills do I need to apply for the Senior Data Scientist position at Wingie Enuygun Group?

To apply for the Senior Data Scientist role at Wingie Enuygun Group, you'll need a strong foundation in quantitative disciplines such as Industrial Engineering, Computer Science, or Mathematics, backed by 5+ years of relevant experience. Proficiency in machine learning models, data manipulation with Python and SQL, as well as familiarity with deep learning frameworks like PyTorch or TensorFlow are essential. Experience in the travel or e-commerce sectors will enhance your application.

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What does a Senior Data Scientist at Wingie Enuygun Group do?

As a Senior Data Scientist at Wingie Enuygun Group, you'll develop and enhance machine learning models to solve complex business challenges. This includes collaborating with cross-functional teams to deliver end-to-end solutions, analyzing large datasets for actionable insights, and refining the overall data infrastructure for scalability and performance.

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Can I work remotely as a Senior Data Scientist at Wingie Enuygun Group?

Currently, the Senior Data Scientist position at Wingie Enuygun Group does not specify a defined location, which may provide flexibility for remote work opportunities. It's best to confirm this during the application process or interview stages to understand the remote work policy.

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What is the process for onboarding at Wingie Enuygun Group for Senior Data Scientists?

Wingie Enuygun Group offers comprehensive onboarding programs tailored for Senior Data Scientists, ensuring you acclimate quickly and become productive from day one. This includes training sessions, mentorship, and resources to help you navigate the company's systems and processes.

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What benefits do Senior Data Scientists get at Wingie Enuygun Group?

Senior Data Scientists at Wingie Enuygun Group enjoy a range of benefits, including health insurance, meal cards, access to educational platforms like Coursera, and special discounts on travel reservations for themselves and friends. There's also an emphasis on work-life balance with no dress code and social club memberships.

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How does Wingie Enuygun Group support learning for Senior Data Scientists?

At Wingie Enuygun Group, ongoing learning and development is highly encouraged. Senior Data Scientists can access resources such as Coursera, Udemy, and Lynda for professional growth, along with internal and external training sessions throughout their career.

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What kind of projects will I work on as a Senior Data Scientist at Wingie Enuygun Group?

As a Senior Data Scientist at Wingie Enuygun Group, you'll work on exciting projects that involve developing machine learning models for prediction, recommendation systems, and data mining, all aimed at enhancing customer experiences and streamlining operations in the travel marketplace.

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Common Interview Questions for Senior Data Scientist
What experience do you have with machine learning models?

Share specific projects where you've implemented ML models, detailing the techniques used, challenges faced, and the impact your work had on the business. Highlight your hands-on experience and any successful outcomes.

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Can you describe your process for transforming raw data into business insights?

Discuss your approach to data analysis, including how you clean and preprocess data. Emphasize your techniques for deriving insights and how those have influenced strategic business decisions in previous roles.

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How do you evaluate the performance of your machine learning models?

Explain your methodologies for model evaluation, such as using metrics like accuracy, precision, recall, and F1-score. Provide examples of how you've used AB testing and cross-validation to assess model effectiveness.

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What strategies do you utilize for optimizing existing data models?

Discuss the techniques you might apply for model optimization, such as hyperparameter tuning, feature selection, and understanding data biases, along with examples of how these strategies have improved model performance in past projects.

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Why is cross-functional collaboration important in data science?

Highlight the value of cross-functional teamwork, emphasizing how collaboration enhances project outcomes, facilitates the alignment of business objectives with data science initiatives, and fosters a culture where data-driven decisions thrive.

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How do you stay updated with the latest trends in data science?

Share your methods for keeping up with industry advancements, such as following relevant journals, attending conferences, participating in online courses, or engaging with communities of data science professionals.

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Can you explain a time when you had to communicate complex data findings to non-technical stakeholders?

Describe a specific instance where effective communication was key. Discuss how you tailored your message for a non-technical audience, using visualizations and simple language to explain complex concepts.

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What tools and technologies do you prefer for data manipulation and analysis?

Discuss your preferred tools, emphasizing your proficiency in Python, SQL, and any libraries that aid in data analysis, like Pandas or NumPy. Include examples of how you've used these tools in practical scenarios.

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How do you approach mentoring junior data scientists?

Highlight your mentoring philosophy. Discuss how you support junior team members through knowledge sharing, providing feedback, and encouraging them to tackle challenging problems while guiding their growth in the data science field.

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What challenges do you anticipate in the Senior Data Scientist role at Wingie Enuygun Group?

Recognize potential challenges in the role, such as high data volumes and evolving technologies, and share your strategies for overcoming these challenges, emphasizing adaptability and a proactive approach to learning.

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DATE POSTED
November 28, 2024

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