Data Scientist
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Before you apply
Company size10,000+ people
PostedAug 4, 2026 · 3mo ago
Verified live8h ago
May no longer be actively hiring
Posted by the company on Aug 4, 202649% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
Bachelor's degree in Engineering, Computer Science, Math, Physics, Statistics or other highly quantitative areas
Experience with statistical programming languages (e.g., Python, R, pandas)
Experience with 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
Skills
Python
R
pandas
SQL
PySpark
machine learning
NLP
deep learning
recommendation systems
reinforcement learning
Hiring process
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Job Description
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Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
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Solve complex problems on both technical and business sides using advanced analytical methods.
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Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment
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Research and develop new quantitative models and frameworks to enhance the company’s data science capability
Basic Qualifications
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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
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Master’s or PhD degree in a quantitative discipline
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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
About the company
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.