Senior Data Scientist
Tasks
- Build and maintain customer segmentation models
- Build dashboards for self-service analytics
- Communicate trade offs and impact
- Conduct causal inference
- Contribute to code quality and documentation
- Create clean datasets and metrics definitions
- Define success metrics
- Deploy and maintain models in production
- Design and analyze experiments
- Develop features for batch and realtime scoring
- Mentor junior team members
- Monitor model performance over time
- Provide data driven recommendations to leaders
- Scope and deliver end to end data science projects
- Translate business problems into analytical approaches
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Batch Scoring | Causal Inference | Clustering | DBT | Data segmentation | Decision Trees | Feature Engineering | Machine Learning | Model Deployment | Monitoring | Pandas | PySpark | Python | Realtime scoring | Regression | SQL | Scikit-learn | Snowflake | Spark | Statistics
Education
N/A
Roles
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