Expert Data Scientist
Tasks
- Balance model performance explainability compliance and cost
- Define evaluation driven development framework
- Design synthetic data and validation strategies
- Establish before after comparisons to business KPIs
- Lead multiple concurrent workstreams in agile cycles
- Manage cost and performance for data and ML workloads
- Mentor data scientists and review modeling choices
- Oversee model monitoring and automated governance
- Represent data science in audits and regulatory reviews
- Set AI ML architecture and MLOps direction
- Set evaluation metrics and validation methodology
Perks/Benefits
- Conference opportunities
- Financial consultation
- Language courses
- Legal consultation
- Medical insurance
- Mental health support
- Paid certifications
- Udemy access
- Workshops and meetups
Skills/Tech-stack
AWS | Agile | Artificial Intelligence | Data Validation | Explainable AI | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Optimization | Simulation | Statistics | Synthetic data | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Scientist | Principal | Principal Data Scientist | Scientist
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