The Senior Data Scientist will develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery. The ideal candidate should hold a bachelor's degree in any quantitative field and have strong mastery of frontier algorithms in machine and deep learning.
Requirements
- Bachelor's degree in computer science, engineering, mathematics, or any quantitative field
- Strong technical skills and deep understanding of frontier algorithms in machine learning and deep learning
- Proficiency in machine learning frameworks such as TensorFlow or PyTorch
- Experience working with cloud platforms such as Azure, Databricks, and Spark for big data processing and analysis
- Proficiency in Python/PySpark for data manipulation, analysis, and modeling tasks
- Good knowledge of CI/CD tools like Github for version control and collaboration
Benefits
- Performance based bonus
- Attendance Bonus
- Private pension plan
- Meal Allowance
- Casual office and dress code
- Days off
- Health, dental, and life insurance
- Medicines discounts
- WellHub partnership
- Childcare subsidies
- Discounts on Ambev products
- Clube Ben partnership
- Scholarship
- School materials assurance
- Language and training platforms
- Transport allowance