Senior Data Scientist
Tasks
- Assemble structured and unstructured datasets
- Cluster data using unsupervised learning
- Conduct market research
- Develop analytical models
- Drive new data insights
- Identify and resolve data stakeholder issues
- Implement batch model scoring
- Implement real time model scoring
- Perform ad-hoc data analysis
- Perform data visualization
- Perform data wrangling
- Pipe and process data streams in distributed computing
- Train supervised machine learning models
- Tune machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Classification | Clustering | Data Design | Data Visualization | Data Wrangling | Distributed Computing | MLOps | Machine Learning | Model Tuning | Predictive Analytics | Python | R | Real Time | Real-time Processing | Regression | Statistics | Supervised Learning | Time processing | Unsupervised Learning
Education
N/A
Roles
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