Translate business goals into analytical problems
Identify optimal algorithms and statistical techniques suitable for business problems
Work in cross-functional teams to develop ML/data science products
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods
Focus on feature engineering, model training and evaluation
Use AWS services including SageMaker, Lambda, and other AI/ML services
Engage and negotiate with stakeholders, making business recommendations with effective presentations

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 to extract and integrate data from multiple sources
Solid understanding of hypothesis testing, causal inference, and model evaluation metrics
Experience with AWS, particularly SageMaker for training and deploying ML models
Strong understanding of APIs, microservices architecture, and cloud-native development

Data Scientist

Key skills