Data Scientist II
Tasks
- Apply causal inference methods
- Build NLP solutions with large language models
- Build and deploy statistical models
- Build and maintain scalable data pipelines
- Collaborate with teams to deliver actionable insights
- Design and execute A/B tests
- Develop AI agents for internal problems
- Develop predictive and classification models
- Integrate LLM APIs into workflows
- Monitor model performance
- Perform exploratory data analysis
- Present insights to business users
- Refine models for accuracy and efficiency
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | B testing | Causal Inference | Databricks | Docker | Experiment design | Feature Store | Git | Kubernetes | LLM Prompt Engineering | Language Processing | MLflow | Machine Learning | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | SQL | Scikit-learn | Snowflake | TensorFlow
Education
Roles
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