DATA SCIENTIST

As Turkcell, we aim to build a sustainable organization that creates value by providing our talents with a unique human experience and to elevate our employer brand to the top. In line with this goal, we reflect our adopted values in our ways of doing business.

What We Value at Turkcell?

Human-focused approach: In order to create a unique human experience, we place people at the center of our practices and aim to maximize the potential of our employees and develop their talents.

Innovation: We passionately work to produce innovative solutions that make a difference in people's lives and to discover new ideas and technologies. 🚀

Excellence: We aim for excellence in every aspect we are involved in and interact with, setting high standards for ourselves and achieving outstanding results. 🎯👌🏼

Collaboration: We foster a culture of collaboration, respect and transparency as the key to success. 👥🔗🧩

Customer-focused approach: We aim to deliver exceptional customer experiences by placing the needs of our customers at the center. 🤝 🖇️

Sustainability: We are working towards a sustainable future for our customers, our employees and our world. 🌍

What we expect ?

• Bachelor’s degree in Engineering (Computer, Industrial, Math etc.), MIS, Math, Statistics or Business Administration (Master’s Degree is a plus),
• Min. 2 years of experience in:
• Analytical Models/Methods, Predictive Models and Behavioral Segmentation,
• SQL and Python are required,
• Hadoop, R and Spark experience is a plus,
• Proficiency in predictive modelling software such as SAS, SPSS, and KXEN is a plus,
• Understanding of Machine Learning methodologies,
• Project management and analytical thinking skills,
• Results-driven and delivery-focused,
• Telecom sector experience is a plus,
• Strong written and verbal communication skills in English.

What Does the Data Scientist Role Do at Turkcell?

• Machine Learning Model Development: Design and develop machine learning models aimed at enhancing various aspects of the business, including upselling, cross-selling, churn prediction, product recommendations, and offer propensity. Regularly update these models to adapt to changing market conditions and offer variations.
• Big Data Analysis: Utilize advanced analytical methods to analyze large datasets, including log data, transaction data, and graph data. Extract valuable insights to inform strategic decisions and drive business growth.
• Customer Behavior Analysis: Conduct in-depth analyses of customer behavior and needs to provide valuable insights for critical business decisions. Utilize methods such as customer segmentation, predictive analysis, and other data-driven techniques.
• Performance Monitoring: Continuously monitor the performance of machine learning models and assess the impact of marketing, digital services, and sales actions. Periodically measure the financial outcomes of these actions and communicate the results to key business stakeholders.
• Data Ownership: Take a proactive approach to owning and managing enterprise data, including defining data warehouse integration needs. Collaborate with technical teams to ensure seamless data integration and accessibility.
• Project Management: Assume end-to-end responsibility for analytical projects in Turkcell. Manage projects from conception to implementation, ensuring they align with business objectives and deliver actionable insights.
• Innovation and Business Ideas: Proactively generate innovative business ideas by leveraging big data and analytics. Develop and execute analytical projects aimed at increasing customer lifetime value and improving overall business performance.

Privacy Notice:

https://kariyerim.turkcell.com.tr/Documents/Calisan_Adayi_Aydinlatma_Metni.pdf

Perks and Benefits

As a member of our team, you’ll have the opportunity to receive a competitive salary, flexible working arrangements and a range of fringe benefits and perks such as career development and advancement opportunities. You can reach the details via "https://bit.ly/TurkcellTKusagi’’🎁▶️

* Turkcell is an equal opportunity employer and accepts all qualified applicants for evaluation; regardless of race, color, religion, gender, national origin, ethnicity, age, physical appearance, marital status, military service.