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Job Description
What you will do
- Generate insights and provide actionable recommendations by applying statistical and machine learning methods to large and complex datasets
- Solve complex technical and business problems using advanced analytical methods
- Work with engineering teams to implement end-to-end processes, from model development to testing, validation, and deployment
- Research and develop new quantitative models and frameworks to enhance the company’s data science capabilities.
Basic Qualifications
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Statistics, or another highly quantitative field
- Experience with statistical programming languages (e.g., Python, R, Pandas) and database software (e.g., SQL, PySpark)
- Knowledge of statistics (e.g., hypothesis testing, regression) and machine learning
- Strong analytical and problem-solving skills
Preferred Qualifications
- Master’s or Ph.D. 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)
- Strong coding skills or a software development background
- Ability to think independently and communicate complex ideas to non-technical stakeholders
- Excellent command of English, both verbal and written
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.