What you will do:

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations
• Solve complex problems on both technical and business sides using advanced analytical methods
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment
• Research and develop new quantitative models and frameworks to enhance the company’s data science capability

Basic Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark)
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning
• Strong analytical problem-solving capabilities
• Master’s or PhD degree in a quantitative discipline
• Experience applying machine learning and statistical methods to large datasets
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning)
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons
• Excellent command of English in both verbal and written forms