Data Science & Modelling Specialist 50134428

İstanbul, TR

Full Time Senior-level / Expert USD 37K - 87K * ^est.

Şişecam

90 yıllık tecrübemiz, yetkin insan kaynağımız, akıllı teknoloji kullanımımızla faaliyet alanlarımızda ilk 3 üreticiden biri olma hedefimize doğru ilerliyoruz.

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Posted 1 day ago

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 8 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.