Data Science & Modelling Specialist 50134428
İstanbul, TR
Role Description
We are looking for a Senior Data Scientist to take part in Şişecam Headquarters located in Tuzla / Istanbul. The ideal candidate would have the following qualifications:
• Bachelor’s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipline.
• At least 5 years of working experience in the field of data science.
• Demonstrated track record of delivering impactful, independent projects in prior roles.
• Manufacturing process domain expertise is a plus.
• Advanced proficiency in SQL and Python.
• Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from data.
• In-depth knowledge of causality and statistical inference.
• Expertise in statistical modeling and optimization techniques.
• Experience in time series modeling is a plus.
• Experience in building MLOps pipelines is a plus.
• Eagerness to learn new technologies and domains, a can-do attitude.
• Having strong desire to take initiative and solve real world problems.
• Multi-disciplinary and cooperative ability to communicate effectively with diverse domains.
• Excellent verbal and written communication skills in English.
• No restrictions to travel in and abroad.
JOB DESCRIPTION:
• Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accordingly.
• Analyze large datasets to extract meaningful patterns, valuable insights and inferences.
• Design, develop and deploy advanced analytical models to solve complex problems.
• Employ scientific approach for conducting experimental design and rapid prototyping.
• Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the results.
• Iteratively improve the solutions to meet the highest-class standards and productionize.
• Translate complex data analysis into clear, actionable recommendations for both technical and non-technical audiences.
• Manage data science projects, ensuring they meet business requirements and are delivered on time.
• Research the best practices to build the next generation analytics products and services.
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