Data Scientist

• Design and develop machine and deep learning systems
• Research and implement ML applications
• Consult with Product Managers in applying machine learning to bring distinguished features to our products
• Study and define necessary data transformation requirements needed to train and run ML/DL models
• Work with Data Science engineers to implement ML pipeline for (near) real-time data processing
• Define metrics and testing protocols to evaluate ML models
• Perform statistical analysis and provide data oriented suggestions to Product team for continuous product improvement
• Work with Cloud team to bring ML/DL prototypes to production
• Keep abreast of developments in the field

*Must have
• Good practical knowledge in Machine Learning/Deep Learning methods (including regression, classification and clustering) and proven experience of the whole development cycle of an ML application
• Practical knowledge working with big data ML/DL problems
• Good background knowledge of statistics and probability theory (e.g including but not limited to hypothesis testing, confidence interval of a test statistic)
• Comfortable working with cloud services to query datasets (small or large) using SQL or noSQL
• Strong programing skill (preferably MATLAB or Python) in any programming language (candidate can pick the language of their choice in interview)
• Have experience working with ETL process
• A curious and innovative mindset. Always want to explore, learn something new and apply this new knowledge to continuously improve company products.
• Analytical and problem-solving skills
• Excellent communication skills
*Nice to have
• Basic knowledge of Embedded System

• Meaningful work and passionate colleagues.
• Subsidies for: cell phone, fitness, health insurance.
• Plenty of food, all the time.
• Jerk-free, ego-free environment.
• A commitment to make your time with us the most transformational time in your career to date.
• Personal and professional development opportunities (workshops, English classes, training programs, etc.) that will keep you busy with learning and immersing yourself in meaningful work.