Data Scientist
Tasks
- Analyze internal and external data
- Apply machine learning and AI techniques
- Build pricing and promotions analytics
- Collaborate with cross-functional stakeholders
- Communicate insights to technical and non-technical audiences
- Develop predictive models
- Document code and approach
- Identify trends and innovation opportunities
- Optimize pricing elasticity modeling
- Recommend pricing and promotions
- Translate insights into recommendations
Perks/Benefits
Skills/Tech-stack
AI Pipelines | AWS | Agile | Airflow | Apache Spark | Bagging | Bayesian | Bayesian Methods | Boosting | Cloud Computing | Clustering | Code review | Component analysis | Continuous Deployment | Continuous integration | Data Visualization | Design Documentation | Factor Analysis | GCP | KNN | Kubeflow | Looker | ML orchestration | Machine Learning | Multivariate statistics | Principal Component Analysis | Python | Random Forest | Regression | Regularization | SQL | SVM | Series forecasting | Streamlit | Tableau | Time Series | Time Series Forecasting | Unit Testing | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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