Senior Data Scientist

We are looking for a highly motivated Senior Data Scientist to take active role in development of industrial AI systems for prediction and data analytics (using operational data) performances. You will propose robust solutions which are in turn employed in predictive/preventive maintenance AI architecture to optimize glass and steel manufacturing processes. 

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

Here at PaneraTech, you will become a 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 are evolving and we expect our company workforce to increase more than two times our current size this year! We are looking for professionals and graduates capable of providing support to our growing organization, willing to work in a fast-paced environment, could not wait to excel in their work and crazy about improvement! We recognize our colleagues’ achievements here and both individual and team performance is valuable to us.

Key Responsibilities

• Establishing best practices for data collection and analysis,
• Evaluating data quality to develop procedures that will ensure high quality of data,
• Working closely with technical leaders to understand business side of data (industrial AI),
• Developing scalable data processing pipelines,
• Developing data analytics tools to extract insights on manufacturing processes,
• Building machine learning models for prediction and data insights,
• Developing predictive/preventive maintenance AI algorithms to enhance manufacturing process,
• Collaborating with other engineers and scientists to find effective solutions to technical challenges,
• Helping the team develop predictive/preventive maintenance AI algorithms to optimize manufacturing processes,
• Leading the team members to excel in their roles with a sense of contribution.