Senior Data Scientist

Requirements

• Machine learning experience of 2+ years of implementing and successfully deploying ML solutions at scale for real-world problems.
• Own the application of machine learning algorithms.
• Design and evaluate novel approaches for handling high-volume real-time data streams in a machine learning environment
• Develop a feedback system to improve the selection of features for the algorithms.
• Understand the theory and application of theory for common classification, clustering, regression and collaborative filtering. Curiosity to learn and implement latest developments in the field of data science.

Skills

• Experience with deep learning applied to areas such as ML and computer vision.
• You have experience in distributed data processing frameworks like Hadoop, Spark or other similar frameworks.
• You respect advanced data structures and can use them to solve your problems.
• Python, Java, Scala or any other high level languages are a bonus.
• You understand what it takes to deliver ML predictions in real time online applications.
• Working knowledge of AWS or any other cloud platform.