Key skills
AWSMicroservicesPySparkPythonSQLMLGlueSageMaker
About this role
Role Overview
- Translate business goals into analytical problems
- Identify optimal algorithms and statistical techniques
- Work in cross-functional teams to develop ML/data science products
- Focus on feature engineering, model training, and model evaluation
- Use AWS services including SageMaker and AWS Glue
- Create and maintain technical design artifacts
- Engage and negotiate with stakeholders and make business recommendations
Requirements
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience)
- 1-2 years of experience developing and implementing data science solutions
- Proficient in Python for data science and application development
- Experience writing complex SQL and PySpark queries
- Solid understanding of hypothesis testing and model evaluation metrics
- Experience with AWS, particularly SageMaker for training and deploying ML models
- Proficiency in supervised and unsupervised models
- Strong understanding of APIs and microservices architecture
Tech Stack
- AWS
- Microservices
- PySpark
- Python
- SQL
Benefits
- Diversity and inclusion initiatives
- Hybrid work environment
- Professional development opportunities
- Incentive plans based on performance