Senior Data Scientist
Ankara, Ankara, Turkey
PaneraTech, Inc.
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., strives to be one of the most innovative technology companies in the world, developing unique solutions that far surpass expectations. We are a technology development company that solves very challenging industrial problems using our innovative sensor solutions.
Our specific core technologies include industrial radar-based sensor solutions and data analytics, accelerating industry 4.0 revolution. Globally recognized for our patented solution in the glass and steel industry, we help manufacturers in over 40 countries with Data-Driven Decision Making (DDDM) using radar, data, and the power of AI.
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.
Requirements
- Bachelor’s Degree in Electrical Engineering, Computer Science 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 and R,
- Familiar with machine learning tools such as SageMaker, AutoML,
- 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,
- Reliability and discretion.
Benefits
- Competitive monthly net salary,
- Home office support stipend, up to $500,
- Private health insurance,
- Eligible to own the laptop used at the end of the 3rd year,
- 18 days holiday per annum,
- A transparent work environment,
- An agile structure that values open communication and instant feedback,
- Training opportunities,
- A global and diverse team dedicated to improving the company and every single colleague within.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Computer Science Data Analytics Data quality Engineering Excel Industrial Machine Learning Matlab ML models OOP PhD Pipelines R Radar SageMaker
Perks/benefits: Career development Competitive pay Gear Health care Home office stipend
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