Senior Data Scientist

Who We Are

PaneraTech is a high-tech company that serves manufacturers in over 40 countries. Our disruptive technology offers unparalleled solutions that are often patent protected. Industries that use high-temperature processes, such as glass and steel, rely on PaneraTech to solve the major challenges they face. We leverage both AI and human expertise to improve efficiency, worker knowledge, and safety. We help in two major areas:

• Asset Life Extension - With our patented solution in the glass and steel industry, we help manufacturers make data-driven decisions using sensors, data, and AI. This results in longer asset campaigns safely with higher annual production
• Enabling the next generation of workers - Heavy industries have 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. Our corporate office is based in the United States with employees spread across Europe, Asia, and South America. Turkey office is in the Hacettepe Teknokent. 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 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.

About The Job

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.

This is a hybrid position with 3 office days per week at our office in Hacettepe Teknokent.

Requirements

• Bachelor’s degree from a reputable university in Mathematics, Engineering, Statistics, Physics, or a related field
• MS/PHD Degree in machine learning is preferred
• At least 5 years of experience on AI
• At least 5 years of experience building predictive models, preferably in a business or industrial setting
• Experience in MATLAB (or R) and python
• Solid understanding of object-oriented programming
• Good command of the English language, both written and verbal
• Natural and strong curiosity with strong analytical and problem-solving skills
• Excited and motivated by technical challenges
  
  

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
  
  

Benefits

At PaneraTech, we recognize that our employees are the driving force behind our success. We are committed to creating a positive and supportive work environment.

We Offer

• Competitive monthly net salary
• Private health insurance
• 18 days holiday per annum
• A transparent work environment
• An agile structure that values open communication and instant feedback
• Opportunities for personal and professional growth
• A global and diverse team dedicated to improving the company and every single colleague within