Senior Data Scientist
Tasks
- Apply statistical machine learning forecasting optimization experimentation
- Build AI enabled products and self service analytics
- Define predictive analytics strategy
- Deploy and optimize machine learning models
- Develop GenAI and LLM powered applications
- Establish modeling standards and reusable frameworks
- Evaluate model performance using KPI tracking
- Implement enterprise AI governance
- Integrate predictive intelligence into marketing and personalization
- Lead cross-functional analytics initiatives
- Lead forecasting model development
- Monitor retraining and model lifecycle
- Operationalize MLOps pipelines
- Provide technical leadership and mentorship
- Translate analytical findings into business recommendations
Perks/Benefits
Skills/Tech-stack
Airflow | Artificial Intelligence | Causal Inference | Databricks | Docker | Experimentation | Forecasting | GenAI | Git | GitLab | Kubernetes | LLM | MLOps | MLflow | MMM | MTA | Machine Learning | Marketing Analytics | Media Measurement | Model Deployment | Model Monitoring | Model retraining | Optimization | Predictive Analytics | Python | SQL | Snowflake | Statistical Analysis
Education
Regions
Countries
States
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