Senior Data Scientist

Revolvind Teknoloji A.Ş.

Revolvind is a Data Science company targeting to revolutionize the industry with Industry 4.0 solutions established by Sistem Teknik Industrial Furnaces. We are aiming to solve industrial production efficiency problems by using industrial IoT data-driven AI / ML systems with our 40 years of industrial experience.

We are looking for dreamer, ambitious, passionate and curious candidates to our great team to change today's well known industrial concepts.

Job Description

• Develop Industrial IoT data-driven machine learning models for efficiency analytics and industrial manufacturing predictions
• Use statistical, ML and AI techniques to create scalable IIoT data analysis and mining platforms
• Develop mechanism to search optimal settings for industrial machine learning solutions
• Design ML solutions for automated anomaly and fraud detection, clustering, classification and time series analysis
• Analyzing and understanding historical data for industrial applications
• Development of software to work with constructed model and data in accordance with customer requirements
• Implement and test Data Scientific software modules

Requirements

• 5+ years of real-world data problems experience in Data Science using Machine Learning and Deep Learning techniques
• Strong interest in Machine Learning/AI and Mathematical Statistics.
• Strong experience with cloud DS platforms like AWS and Azure
• Strong experience in Python, Scala and C++
• Strong experience with at least one main stream machine learning and deep learning frameworks (Tensorflow, Scikit-Learn, Keras, PyTorch, MXNet etc.)
• Experience in NoSQL (MongoDB, HBase, Casandra) and SQL databases
• Experience with Data Science tools (numpy, scipy, matplotlib, plotly, seaborn, pandas)
• Experience with Big Data technologies (Hadoop, Map/Reduce, Hive, Spark SQL)
• Experience with software optimization for CPU and GPU performance boost
• Strong academic background is a plus (PhD/MS/BS in CS/EE/Maths or relevant subject)
• Experience with Big Data architectures such as Lambda Architecture is a plus
• Experience with data visualization tools is a plus (PowerBI, Tableau etc.)