Senior Data Scientist
Tasks
- Analyze structured and unstructured datasets
- Build predictive models and forecasting solutions
- Create AI agents for workflow automation
- Deploy production AI systems
- Develop anomaly detection systems
- Develop conversational AI using LLMs
- Develop model explainability documentation
- Develop reusable machine learning pipelines
- Ensure data governance privacy and regulatory compliance
- Establish model governance and responsible AI practices
- Implement retrieval-augmented generation
- Lead machine learning and AI solution development
- Mentor junior team members
- Monitor model performance and drift
- Optimize fraud detection models
Perks/Benefits
- Adoption and surrogacy expense reimbursement
- Child care support
- Community service time
- Employee resource groups
- Fertility treatments
- Flexible family care days
- Medical, dental & vision coverage
- Option to purchase additional vacation time
- Paid Holidays
- Paid parental leave
- Paid time off
- Prescription Drug Coverage
- Tuition assistance
- Vehicle discount program
Skills/Tech-stack
Anomaly Detection | CI/CD | Data Analysis | Deep learning | Feature Engineering | Forecasting | Fraud Detection | Generative AI | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | Prompt engineering | Python | Recommendation Systems | Retrieval-Augmented Generation | SQL | Statistical modeling | Supervised Learning | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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