Data Scientist - Enterprise Functions
Tasks
- Automate dashboards and analyses
- Build machine learning models
- Clean data
- Collaborate with data engineers and visualization experts
- Communicate model results to business teams
- Conduct data mining and statistical analysis
- Create polished data deliverables
- Deliver advanced analytics projects
- Deploy models using MLOps practices
- Design and maintain data pipelines
- Develop data models
- Develop hypothesis driven analyses
- Interpret business requirements
- Perform exploratory data analysis
- Select analytics methodology
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS | Alteryx | Azure | B testing | Causal Inference | DVC | Data Analysis | Data Mining | Docker | DynamoDB | Excel | Exploratory Data Analysis | Feature Engineering | Google Cloud | Hadoop | Hypothesis Testing | KNIME | MLOps | MLflow | Microsoft SQL | Microsoft SQL Server | Model Evaluation | MongoDB | MySQL | Pandas | Power BI | PyTorch | Python | R | SQL Server | Scikit-learn | Spark | Statistical modeling | Tableau | TensorFlow
Education
Roles
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