Senior Data Scientist

Tasks

• Collaborate with data engineers on dataset preparation and scaling
• Conduct statistical analysis and experimentation
• Design, develop, and deploy machine learning models
• Engineer features and prepare datasets
• Engineer prompts for secure LLM capabilities
• Ensure model explainability
• Evaluate and optimize models
• Implement MLOps for model versioning monitoring retraining
• Participate in discovery experimentation and solution design
• Perform exploratory data analysis
• Present insights with data visualization
• Support analytics and AI solution design
• Translate business problems into analytical solutions

Perks/Benefits

• N/A

Skills/Tech-stack

A/B | A/B Testing | AI Agents | Azure DevOps | B testing | BigQuery | BigQuery ML | CI/CD | Classification | Clustering | Cross-validation | Data Analysis | Data Catalog | Data Governance | Data Lineage | Data Pipelines | Data Preparation | Data Quality | Dataflow | Dataplex | Dataproc | ETL | Exploratory Data Analysis | Feature Engineering | Forecasting | Gemini | Generative AI | Git | Hypothesis Testing | Jira | Language Models | Large Language Models | Looker | MLOps | Machine Learning | Model Monitoring | Model Tuning | Model retraining | Power BI | Prompt engineering | Python | Regression | SQL | Time Series | Vertex AI | Vertex AI Agents