Data Scientist at Peopleplus

Job description

สมัครโปรดคลิกที่ปุ่ม "Apply" If you are an active SCB employee, please apply through Workday by searching "Find Jobs". If this is your first time applying you will need to create a candidate account when you click on apply. Job Description 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.

Requirements

Must-haves

สมัครโปรดคลิกที่ปุ่ม "Apply"
If you are an active SCB employee, please apply through Workday by searching "Find Jobs".
If this is your first time applying you will need to create a candidate account when you click on apply.
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
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

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonsql

Platform: workday
Effort: long