Jr. Data Scientist (Ankara-Hybrid)

We are looking for a highly motivated Jr. Data Scientist to help us develop industrial AI systems for prediction and data analytics (using operational data) which are in turn employed in predictive/preventive maintenance AI architecture to optimize glass and steel manufacturing processes. Join us and start your career in revolutionizing manufacturing industry!

Join PaneraTech, where we drive innovation in heavy manufacturing, making it data-driven and future-ready. If you are willing to work for an innovative technology and want to be part of a dynamic and global team, we encourage you to apply. Your contributions will shape the future of heavy manufacturing industries worldwide.

Who We Are

PaneraTech, Inc develops unique solutions to help customers reliably make more product with their critical assets.  Many heavy manufacturing industries such as steel, glass, cement, copper, and aluminum use high temperature processing to melt tons of material in a day. We help in two main areas:

• Asset Life Extension – With our patented solution in the glass and steel industry, we help manufacturers in over 40 countries make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns with higher annual production.
• Enabling the next generation of workers – Heavy industry has relied on the experience of employees who worked for 20-30 years in one plant. As a generation of operators and engineers retire, we bridge the experience gap with technology, data, and expertise. We offer solutions to our customers to make their process more data-driven so that an early career workforce can flourish.

Working at PaneraTech

At PaneraTech, you will be part of a global, innovative and hybrid working team. In this collaborative and inspiring culture that is fostered by a creative and intellectually stimulating work environment, you will be encouraged to bring the best out of yourself and your colleagues. We tripled our size in 2023 and while still growing; we are looking for professionals willing to work in a fast-paced environment, cannot wait to excel in their work and are crazy about improvement! We recognize our colleagues’ achievements and both individual and team performance is valuable to us.

Key Responsibilities

• Working on process of data collection,
• Overviewing the data quality; developing procedures to ensure high quality of data (data cleaning),
• Working on data labeling,
• Working in accordance with involved parties to understand business side of data (industrial AI),
• Working on data processing,
• Developing basic data analytics tools to extract insights on manufacturing processes.