Data Scientist (Hybrid)
Ankara, Ankara, Turkey
PaneraTech, Inc.
We are looking for a highly motivated Data Scientist. The Data Scientist will assist in the development of industrial AI systems for prediction and data analytics (using operational data) performances. The successful candidate will propose robust solutions which are in turn employed in predictive/preventive maintenance AI architecture to optimize glass and steel manufacturing processes. Do you want to join us in revolutionizing the manufacturing industry?!
Who We Are
PaneraTech, Inc. is headquartered in the United States with an international team that includes employees in Brazil, Germany, Italy, Turkey, India and Japan. We are globally recognized for pioneering solutions for heavy manufacturing industries such as glass and steel by enabling a safer and longer operation of critical assets in these industries. At PaneraTech, you will become a part of an innovative team to build solutions that inspire and transform the Industry 4.0 revolution. Our company is known for its collaborative culture that is fostered by a creative and intellectually stimulating work environment. PaneraTech has a global footprint of customer success across 40 countries and over 250 plants within the last five years.
PaneraTech encourages employee development and growth. We expect our company workforce to grow to more than two times in the next year! Our company believes in enabling team members with the greatest amount of autonomy to encourage employees to take initiative and be creative. We want to ensure all our employees feel respected and supported. At PaneraTech, compensation, recognition and advancement are based on an employee's achievement of excellence in team and individual performance.
Key Responsibilities
Data Scientist will help the team develop predictive/preventive maintenance AI algorithms to optimize manufacturing processes. Your duties will include:
- Establish best practices for data collection and analysis.
- Evaluate data quality to develop procedures that will ensure high quality of data.
- Work closely with technical leaders to understand business side of data (industrial AI).
- Develop scalable data processing pipelines.
- Develop data analytics tools to extract insights on manufacturing processes.
- Build machine learning models for prediction and data insights.
- Developing predictive/preventive maintenance AI algorithms to enhance manufacturing process.
- Collaborate with other engineers and scientists to find effective solutions to technical challenges.
Requirements
- Bachelor’s Degree in Electrical Engineering, Computer Science, or a related field.
- 3+ years of experience on AI.
- 3+ years of experience building predictive models, preferably in a business or industrial setting.
- Solid understanding of object-oriented programming.
- Command of the English language, both written and verbal.
- Demonstrate natural and strong curiosity with strong analytical and problem-solving skills.
- Excited and motivated by technical challenges.
- MS/PHD Degree in machine learning is preferred.
- Experience on machine learning tools such as SageMaker, AutoML is preferred.
Benefits
- Private Health Care Plan
- Home office technology support package, up to $500
- Being eligible to own the laptop used at the end of the 3rd year.
- 18 days Paid Time Off per annum.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data Analytics Data quality Engineering Industrial Machine Learning ML models OOP PhD Pipelines SageMaker
Perks/benefits: Career development Gear Health care Startup environment
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