Data Scientist

Nobel is a global player with more than half a century of experience, Nobel was founded in 1954 as a company with 100% Turkish capital.

Nobel operates with a total of 5 facilities, 3 in Türkiye and 1 in each of Kazakhstan and Uzbekistan, while carrying out promotion and sales activities with its own organizations in 22 countries.

Having 4000 employees who are experts in their respective fields, Nobel exports qualified products to 50 countries, which it manufactures according to international standards.

Our Mission is to improve the quality of human life by operating with the motto of “Everything is worth it for health”.

We are waiting for your applications as "Data Scientist" to join our IT team.

Qualifications:

• Bachelor's or MS degree in Industrial Engineering, Computer Science, Statistics, Mathematics or MIS,
• At least 4 years of experience in data science,
• Proficient in actively using Python and related data science tools,
• Capable of working with different data sources,
• Experience in deep learning, particularly in natural language processing and large language models,
• Proven experience in implementing AI and machine learning projects on cloud platforms such as AWS, Azure, and Google Cloud.
• Excellent command of English (written and spoken).

Job Description:

• Analyzing business needs to design creative and data-focused solutions,
• Utilizing alternative data sources to create demand forecasting and predictive models, and optimizing current models,
• Using ChatGPT, large language models (LLMs) and AI technologies to develop AI-based features like personal assistants and chatbots,
• Conducting analytical data modeling (machine learning, segmentation, descriptive and predictive modeling) with Python and associated data science tools,
• Converting data analysis findings into business language and reporting the results to the top management,
• Integrating ready-made AI tools in the cloud environment to develop user friendly products,
• Following the latest developments in data science and AIfields,
• Managing the projects assigned to.