Lead Data Scientist

Tasks

• Address ethical concerns in AI and machine learning
• Collaborate with stakeholders on data opportunities
• Communicate insights to technical and non-technical stakeholders
• Define project goals and scope
• Deploy and productionize machine learning models
• Design AI system and governance
• Design and implement data science strategies
• Design experiments and test hypotheses
• Ensure data privacy compliance and data quality
• Lead and manage data science projects
• Select machine learning models using quality metrics
• Use data versioning and CD4ML practices

Perks/Benefits

• N/A

Skills/Tech-stack

Accountability | CI/CD | Computer Vision | Data Mining | Data Preprocessing | Data Quality | Data Versioning | Data Visualization | Deep learning | Experiment design | Explainability | Fairness | Generative AI | Hypothesis Testing | Machine Learning | Model Evaluation | Model Governance | NLP | Optimization | Predictive Analytics | Production Deployment | Python | R | Risk Management | Statistical modeling | Transparency