Responsibilities:

• 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.

Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages and database software
• Knowledge in statistics 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
• 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