Senior Data Scientist
Tasks
- Apply statistics and data visualization
- Assemble datasets for business requirements
- Build supervised machine learning models
- Build unsupervised machine learning models
- Conduct ad-hoc data analysis
- Develop hypotheses and analytic models
- Drive data insights for business opportunities
- Identify analytic trends and data needs
- Implement batch model scoring
- Implement real time model scoring
- Perform data wrangling
- Perform information flow issue analysis
- Process data streams in distributed environments
- Tune machine learning models
- Work with structured and unstructured data
Perks/Benefits
- N/A
Skills/Tech-stack
Batch Scoring | Classification | Clustering | Data Processing | Data Visualization | Data Wrangling | Distributed Computing | Generative AI | LLM | MLOps | Machine Learning | Predictive Analytics | Python | R | Real Time | Real-time Scoring | Regression | Statistics | Supervised Learning | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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