Senior Data Scientist
Tasks
- Apply unsupervised learning clustering time series anomaly detection
- Build and deploy production machine learning models
- Collaborate with cross-functional teams to translate business needs
- Develop NLP topic modeling and generative AI solutions
- Implement and maintain MLOps for model lifecycle
- Mentor junior team members
- Prepare and analyze data using SQL and Python
- Present results to technical and non-technical stakeholders
Perks/Benefits
Skills/Tech-stack
Amazon Redshift | Anomaly Detection | Azure | Cloud platform | Clustering | Data Analysis | Data Modeling | Data Preparation | Data Visualization | Data Warehousing | DataRobot | Generative AI | Google Cloud | Google Cloud Platform | Jira | Language Processing | MLOps | Machine Learning | Miro | Natural Language | Natural Language Processing | Python | SQL | Series analysis | Snowflake | Time Series | Time Series Analysis | Topic Modeling | Unsupervised Learning
Education
Roles
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