Senior Applied Scientist
Tasks
- Bridge researchers and development teams
- Build datasets for machine learning modeling
- Clean transform analyze and integrate data
- Collaborate with stakeholders to identify problem needs
- Deliver applied research to product teams
- Design data pipelines for training and shipping models
- Develop and scale research backed solutions
- Document experiments and scientific work
- Ensure representative data for fairness and ethics
- Evaluate machine learning models and validate assumptions
- Mentor and coach team members
- Monitor model performance and accuracy over time
- Select features and optimize feature engineering
Perks/Benefits
- N/A
Skills/Tech-stack
Bias analysis | Computer Vision | Data Analysis | Data Transformation | Data cleaning | Data integration | Data pipeline | Descriptive Statistics | Diagnostic statistics | ETL | Feature Engineering | Language Processing | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Open Source | Open Source Libraries | Predictive Analytics | Predictive Modeling | Predictive Statistics | Prescriptive Analytics | Python | Statistical modeling
Education
Roles
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