Lead Data Scientist
Tasks
- Apply scientific methods to identify business optimization strategies
- Build production-grade ML systems
- Collaborate cross functional teams to translate data into business strategy
- Collaborate with engineering teams to deploy models and pipelines
- Define project scope, objectives, and success metrics
- Deliver machine learning products
- Deploy models in production
- Develop evaluate and demonstrate ML prototypes
- Enable model governance
- Follow CRISP-DM for documentation
- Manage data science team
- Monitor model performance and stability
- Participate in agile scrum process
- Present results to technical and business stakeholders
- Research new data tools algorithms and technologies
- Shape data science strategy
- Write clean code in Python
Perks/Benefits
- EAP
- Employee assistance program
- Flexible time off
- Free access to Calm app
- HSA employer contribution
- Health, dental & vision plans
- Mental health support
- Paid parental leave
- Wellness reimbursement
Skills/Tech-stack
AWS | CRISP-DM | Deep learning | Dimensionality Reduction | Feature Engineering | Fine Tuning | GCP | Graph Neural Networks | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Governance | Model Validation | Natural Language | Natural Language Processing | Neural Networks | PySpark | PyTorch | Python | Retrieval-Augmented Generation | SQL | SVM | Scikit-learn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Transfer Learning
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist | Senior Data Scientist
Regions
Countries
States
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