Data Scientist I
Tasks
- Build machine learning and AI solutions
- Collaborate with cross-functional stakeholders
- Communicate insights to technical and non-technical audiences
- Develop predictive models
- Document code and approach
- Identify trends and drive innovation
- Implement pricing elasticity modeling
- Optimize pricing and promotions
- Recommend discounts and promotional campaigns
- Translate data into insights
Perks/Benefits
- Counselling sessions
- Family care leave
- Leave plan
- OPD Coverage
- Paternity leave
- Preventive health checkup
- Product discount vouchers
Skills/Tech-stack
AI Pipelines | Agile | Airflow | Apache Spark | Artificial Intelligence | Bagging | Bayesian Methods | Cloud Computing | Clustering | Code review | Component analysis | Continuous Deployment | Continuous integration | Data Visualization | Design Documentation | Factor Analysis | Gradient boosting | K-Nearest Neighbors | K-nearest | Kubeflow | Language Models | Large Language Models | Looker | Machine Learning | Multivariate Statistical Modeling | Nearest neighbors | Principal Component Analysis | Python | Random Forest | Regression | Regularization | SQL | Series forecasting | Statistical modeling | Support Vector Machines | Tableau | Time Series | Time Series Forecasting | Unit Testing | Vector machines | Vertex AI | Vertex AI pipelines
Roles
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