Data Scientist

Sisecam was founded in 1935 to establish Turkey’s glass industry in line with the vision of Mustafa Kemal Atatürk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals. Sisecam is the only global company operating in all core areas of glass production – including flat glass, glassware, glass packaging, and glass fiber. Currently, Sisecam ranks among the world’s top two manufacturers of glassware and the top five producers of glass packaging and flat glass. Sisecam is one of the three largest soda ash producers in the world and the world leader in chromium chemicals.

Sisecam plays a leading role in the flat glass, glassware, glass packaging, chemicals, automotive, glass fiber, mining, energy and recycling business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey

.
Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activity, with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who has 90 years of experience, more than 24 thousand employees, production activities in 14 countries on four continents, and a sales network of more than 150 countries, continues its growth journey in line with its "Global Excellence" strategy and with an inclusive approach that supports the development of company's entire ecosystem. Sisecam takes responsibility for protecting the planet, empowering society and transforming life with its CareForNext strategy, which is compliant with and centered around the United Nations Sustainable Development Goals. Sisecam uses all its experience and competencies to promote sustainable development in every aspec

t.
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 qualificatio

• ns:
  Bachelor’s and/or MSc/PhD degree in Engineering, Data Science, or a related quantitative discipl
• ine.At least 5 years of working experience in the field of data scie
• nce.Demonstrated track record of delivering impactful, independent projects in prior ro
• les.Manufacturing process domain expertise is a p
• lus.Advanced proficiency in SQL and Pyt
• hon.Solid hands-on experience in machine learning and other advanced modeling approaches to extract and automate valuable insights from d
• ata.In-depth knowledge of causality and statistical infere
• nce.Expertise in statistical modeling and optimization techniq
• ues.Experience in time series modeling is a p
• lus.Experience in building MLOps pipelines is a p
• lus.Eagerness to learn new technologies and domains, a can-do attit
• ude.Having strong desire to take initiative and solve real world probl
• ems.Multi-disciplinary and cooperative ability to communicate effectively with diverse doma
• ins.Excellent verbal and written communication skills in Engl
• ish.No restrictions to travel in and abr

oad.

JOB DESCR

• IPTION
  Collaborate closely with cross-functional teams to understand the business challenges and formulate data-driven solutions accor
• dingly.Analyze large datasets to extract meaningful patterns, valuable insights and infe
• rences.Design, develop and deploy advanced analytical models to solve complex pr
• oblems.Employ scientific approach for conducting experimental design and rapid proto
• typing.Lead the data-driven decision-making process, from data preparation and analysis to implementation and monitoring the r
• esults.Iteratively improve the solutions to meet the highest-class standards and product
• ionize.Translate complex data analysis into clear, actionable recommendations for both technical and non-technical aud
• iences.Manage data science projects, ensuring they meet business requirements and are delivered o
• n time.Research the best practices to build the next generation analytics products and se