Data Science & Modelling Specialist 50134428

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.