Data Scientist I
Tasks
- Apply machine learning for business value
- Automate analytics solutions
- Collaborate with cross-functional stakeholders
- Develop predictive models
- Document code and methodologies
- Implement best practices for reusable analytics
- Optimize pricing elasticity modeling
- Optimize promotional campaigns
- Recommend pricing and discounts
- Translate insights into actionable recommendations
- Visualize insights for technical and non technical audiences
Perks/Benefits
- Discount vouchers
- Family care leave
- Health checkup
- Medical insurance
- Mental health counseling
- Paid time off
- Paternity leave
Skills/Tech-stack
AI Pipelines | AWS | Agile | Apache Airflow | Apache Spark | Bagging | Bayesian Methods | Boosting | Cloud Computing | Clustering | Code review | Component analysis | Continuous Deployment | Continuous integration | Design Documentation | Factor Analysis | GCP | K-Nearest Neighbors | K-nearest | Kubeflow | Language Models | Large Language Models | Looker | Machine Learning | Multivariate Regression | Multivariate Statistical Modeling | Nearest neighbors | Principal Component Analysis | Python | Random Forest | Regularization | SQL | Series forecasting | Statistical modeling | Streamlit | Support Vector Machines | Tableau | Test automation | Time Series | Time Series Forecasting | Unit Testing | Vector machines | Vertex AI | Vertex AI pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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