About this role
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- Job Description
- 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
- 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
- We're committed to bringing passion and customer focus to the business.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
