Key skills
AWSCloudMicroservicesPySparkPythonSQLMLAnalyticsLambdaSageMaker
About this role
Role Overview
- Translate business goals into analytical problems
- Identify optimal algorithms and statistical techniques for business challenges
- Work in cross-functional teams to develop ML/data science products
- Focus on feature engineering, model training, and evaluation
- Use AWS services including SageMaker and Lambda
- Engage and negotiate with stakeholders and present findings
- Champion continuous improvement and innovation within the analytics community
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
- Strong understanding of hypothesis testing, causal inference, and model evaluation metrics
- Experience with AWS, particularly SageMaker for ML models
- Proficiency in supervised and unsupervised models
- Strong understanding of APIs, microservices architecture, and cloud-native development
Tech Stack
- AWS
- Cloud
- Microservices
- PySpark
- Python
- SQL
Benefits
- Diversity and inclusion programs
- Flexible working arrangements
- Professional development opportunities