– 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

Preferred Qualifications
– 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