Senior Data Scientist
Tasks
- Analyze trends in complex data
- Assemble datasets for business requirements
- Build analytic models
- Collaborate with stakeholders to define hypotheses
- Conduct market research
- Create reports
- Develop point of view
- Drive data insights
- Implement data wrangling
- Perform ad-hoc analyses
- Perform supervised machine learning
- Perform unsupervised machine learning
- Process data streams in distributed environments
- Resolve information flow issues
- Score models in batch and real time
- Tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Classification | Clustering | Data Visualization | Data Wrangling | Distributed Computing | MLOps | Machine Learning | Model Tuning | Predictive Analytics | Python | R | Regression | Statistics | Supervised Learning | Unsupervised Learning
Roles
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